Christophe Ley

Christophe Ley

Associate professor in Mathematics (Applied Statistics)

Department Département Mathématiques
Adresse postale Université du Luxembourg
Maison du Nombre
6, Avenue de la Fonte
L-4364 Esch-sur-Alzette
Bureau sur le campus MNO, E05 0525-140
E-mail
Téléphone (+352) 46 66 44 5583

Associate professor in Applied Statistics (with special interest in engineering, life sciences and/or industrial applications)

Academics Areas(s): Mathematics, Data Science

Research Topics: Statistical Modelling, Machine Learning, Directional Statistics, Stein’s Method, Sport analytics, Interdisciplinary research (focus on medicine, biology, engineering, renewable energies, psychology)

Faculty or Centre: Faculty of Science, Technology and Medicine

Department: Department of Mathematics

Postal Address: Université du Luxembourg  
Maison du Nombre
6, Avenue de la Fonte
L-4364 Esch-sur-Alzette

Campus Office: MNO, E05, 0525140

Email: christophe.ley@uni.lu

Telephone: (+352) 46 66 44  5583

Fax: (+352) 46 66 44  35583

Social Media & Blogs: My LinkedIn page

Speaks: Luxembourgish, German, French, English, Dutch, Spanish 

Last updated on: mardi 01 février 2022

Christophe Ley was born in Luxembourg on February 13, 1984.

He is an applied mathematician working in the field of statistics/data science, with a strong taste for interdisciplinary work. Before joining the University of Luxembourg, he was Associate Professor at Ghent University in Belgium. He obtained his PhD  from the Université libre de Bruxelles in 2010, where he had also studied except for the first year, which he did at the University of Luxembourg during its first year of existence in 2003-2004. He is President of the Luxembourg Statistical Society, President of ECAS, the European organization for Advanced Courses in Statistics, and Leader of the international network S-TRAINING (new data science methods for sports analytics and sports medicine). Among his achievements are the Prix Marie-Jeanne Laurent-Duhamel, rewarding the best PhD thesis in Statistics over a period of 3 years among all French-speaking universities world-wide, and an Elected Membership at the International Statistical Institute.

More details can be found under the category CV, on google-scholar and for a personal statement please see his interview upon joining the university.



Last updated on: 06 jan 2022

Personal data

  • Born 13/02/1984, in Luxembourg-ville, Luxembourg
  • Nationality Luxembourgish
  • Languages Luxembourgish (Mother tongue), German, French, English, Dutch (all fluent), Spanish (advanced)

Employment

  • 2021–present Associate Professor, Université du Luxembourg, Faculty of Science, Technology and Medicine, Department of Mathematics
  • 2020–2021 Associate Professor, Universiteit Gent, Faculty of Sciences, Department of Applied Mathematics, Computer Science and Statistics
  • 2015–2020 Assistant Professor, Universiteit Gent, Faculty of Sciences, Department of Applied Mathematics, Computer Science and Statistics
  • 2012–2015 Lecturer (Maître d’Enseignement), Université libre de Bruxelles, Faculty of Sciences and Advanced Master in Quantitative Finance
  • 2011–2015 Chargé de Recherche of the Belgian National Fund for Scientific Research, Université libre de Bruxelles, Faculty of Sciences and ECARES, Department of Mathematics
  • 2007–2011 Aspirant (PhD funded by the Belgian National Fund for Scientific Research), Université libre de Bruxelles, Faculty of Sciences and ECARES, Department of Mathematics
  • 2015 Qualification in France for both “Professeur” and “Maître de Conférences” in section 26 of the CNU, qualification number 15126276288

Education

  • 2007–2010 PhD in Sciences, Université libre de Bruxelles, Dissertation : “Univariate and Multivariate Symmetry : Statistical Inference and Distributional Aspects”, defended November 26, 2010 (Supervisor : Prof. Davy Paindaveine)
  • 2004–2007 Licence in Mathematical Sciences, Université libre de Bruxelles, Grade : La Plus Grande Distinction (Highest grade)
  • 2003–2004 1ère Candidature in Mathematical and Physical Sciences, Université du Luxembourg, Grade : Très bien with Félicitations du Jury (Highest grade + Jury congratulations)
  • 1996–2003 High school diploma, Lycée Classique de Diekirch, Luxembourg, Grade : Très bien (mark : 55/60)

Editorial Service

  • 2021–present Associate Editor for the journal Statistique et Société
  • 2018–present Associate Editor for the journal Annals of the Institute of Statistical Mathematics
  • 2016–present Associate Editor for the journal Econometrics and Statistics
  • 2016–2021 Associate Editor for the journal Computational Statistics & Data Analysis
  • 2019 Guest Editor for the journal Symmetry for the special issue “Recent Advances on
  • Symmetry in Mathematical Statistics”
  • 2013–2015 Associate Editor for the journal QdS-Journal of Methodological and Applied Statistics

Prizes and Awards

  • 2018 Nominated for the international USERN Prize 2018 in the category “Formal Sciences” among top junior scientists (age less than 40) according to their publications in top rank (Q1) journals of their field, according to the SJR in 2017 and 2018
  • 2014 Marie-Jeanne Laurent-Duhamel Prize of the Société Française de Statistique : international prize rewarding the best PhD thesis in statistics over the past 3 years in all French-speaking universities
  • 2014 Elected Member of the International Statistical Institute
  • 2012 Wernaers Prize for the dissemination of knowledge, for the creation and organisation of the Brussels Summer School of Mathematics
  • 2006 Sterpenich Prize for the best undergraduate student in Mathematics at the Université libre de Bruxelles
  • 2006 Ruth and Joe Gani Prize for the best undergraduate student in Probability and Statistics at the Université libre de Bruxelles
  • 2004 Physics prize for the best high-school students in physics in Luxembourg
  • Before 2003 Various prizes at Mathematical Olympiads

Research Grants

  • 2019 Danmarks Frie Forskningsfond Grant for the project “Deep Probabilistic Programming for Protein Structure Prediction”, Principal Investigator : Thomas Hamelryck (Copenhagen) (800.000 Euro)
  • 2018 FWO Krediet aan Navorsers Research Grant for the project “Statistical Models for Complex Directional Data”
  • 2017 Ghent-Lille-Louvain-la-Neuve Grant for the project DEMOTOR (Dependence Modelling on the Torus), co-investigators : Johan Segers (LLN) and Christian Francq (Lille)
  • 2017 FWO PhD Grant of Slažana Babic for the project “Extreme events in vast dimensional systems” (4 years PhD grant)
  • 2016 Startkrediet grant from the Bijzonder Onderzoeksfonds (BOF) at Ghent University for the project “Probabilistic distances and Bayesian statistics : new insights on and methods for the choice of the prior” (213.000 Euro)
  • 2014 CR4 FNRS : Grant from the Belgian National Fund for Scientific Research (1 year post-doc grant)
  • 2013 Grant Hubert Curien 2013 for the project “Nouvelles caractérisations de lois probabilistes et applications” (collaboration with the Institut Elie Cartan of the Université de Lorraine)
  • 2011 Postdoctoral grant from the Belgian National Fund for Scientific Research (3 years)
  • 2009 PhD grant from the Belgian National Fund for Scientific Research (2 years)
  • 2007 PhD grant from the Belgian National Fund for Scientific Research (2 years)



Last updated on: 07 jan 2022

Positions of trust

  • 2021–present President of ECAS, the European organization for Advanced Courses in Statistics
  • 2020–present President of the Luxembourg Statistical Society
  • 2020–present Initiator and Leader of the European Network S-TRAINING (Sports–Training and
  • Research in DAta ScIence Methods for ANalytics and INjury Prevention Group)
  • 2019–2021 Vice-President of ECAS, the European organization for Advanced Courses in Statistics
  • 2015–2020 Vice-President of the Luxembourg Statistical Society
  • 2021–present Member of the Programme Committee of the Doctoral Programme in Computational
  • Sciences, Université du Luxembourg
  • 2020 Member of the FENStatS (Federation of European National Statistical Societies)
  • COVID-19 Working Group
  • 2018–present Representative of Luxembourg in the Board of the European Courses in Advanced
  • Statistics (ECAS)
  • 2018–2021 Secretary of the Examiner’s Committee of the Advanced Master in Statistical Data
  • Analysis at Ghent University2018–present Board Member of the Groupe Statistique et Sport of the Société Française de
  • Statistique
  • 2017–present Board Member of the PhD Program in Analytics for Economics and Management,
  • Università degli Studi di Brescia, Italy
  • 2015–2021 Board Member of the Royal Belgian Statistical Society
  • 2013 Chief Coordinator at the European Girls Mathematical Olympiad in Luxembourg
  • 2011 Member of the organizing team and coordinator at the Benelux Mathematical
  • Olympiad in Luxembourg
  • 2007–2013 (Main) Co-Organizer of the Brussels Summer School of Mathematics

Scientific Program Committees

  • 18-20/12/21 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, UK
  • 13/09/21 8th Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA), ECML/PKDD 2021 workshop, Online
  • 19-21/12/20 13th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, UK
  • 14/09/20 7th Workshop on Machine Learning and Data Mining for Sports Analytics, ECML/PKDD 2020 workshop, Ghent, Belgium
  • 20/09/19 Machine Learning and Data Mining for Sports Analytics, ECML/PKDD 2019 workshop, Würzburg, Germany
  • 08-10/07/19 2019 International Conference on Mathematics and Statistics (ICoMS 2019), Prague, Czech Republic
  • 03-07/06/19 51èmes Journées de Statistique de la SFdS (JdS 2019), Nancy, France
  • 14-16/12/18 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, UK
  • 10/09/18 Machine Learning and Data Mining for Sports Analytics, ECML/PKDD 2018 workshop, Dublin, Ireland
  • 28-31/08/18 23rd International Conference on Computational Statistics (COMPSTAT 2018), Iasi, Romania
  • 15-17/07/18 2018 International Conference on Mathematics and Statistics (ICoMS 2018), Porto, Portugal
  • 04-06/06/18 Modern Mathematical Methods for Data Analysis, Liège, Belgium
  • 16-18/12/17 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, UK
  • 18-22/09/17 Machine Learning and Data Mining for Sports Analytics, ECML/PKDD 2017 workshop, Skopje, Macedonia
  • 09-11/12/16 9th International Conference of the ERCIM WG on Computational and Methodological Statistics, Sevilla, Spain

Jury of doctoral theses

  • ? ?/03/22 Member of the Jury of the doctoral thesis of Paul Steffen (Université de Bordeaux), thesis title : Modélisation statistique des probabilités d’évènements faisant l’objet d’un pari sportif : Théorie et applications au football, tennis et basketball
  • 14/01/22 Member of the Jury of the doctoral thesis of Alex Domin (Université du Luxembourg), thesis title : ? ?
  • 09/12/21 Member of the Jury of the doctoral thesis of Frank Imbach (Université de Montpellier), thesis title : Modelling responses to training loads to lead performance in sports
  • 11/21 Foreign expert of the Jury of the doctoral thesis of Sadia Qamar (National College of Business Administration & Economics), thesis title : Some novel statistical procedures for the analysis of spatio-temporal data
  • 10/11/21 Member of the Jury of the doctoral thesis of Marie Delacre (Université libre de Bruxelles), thesis title : Méthode en Psychologie : Les hypothèses, conditions d’application et mesures de taille d’effet dans le contexte de la comparaison de moyennes
  • 18/11/20 Member of the Jury of the doctoral thesis of Essomanda Konzou (Université de Lorraine), thesis title : Lois gaussiennes inverses (généralisées), lois de Kummer et méthode de Stein
  • 10/20 Member of the Jury of the doctoral thesis of Moritz Lang (University of Innsbruck), thesis title : Probabilistic Wind Forecasting in the Framework of Distributional Modeling
  • 03/20 Foreign expert of the Jury of the doctoral thesis of Yolanda Larriba González (Universidad de Valladolid), thesis title : Statistical methodology and software to analyse oscillatory signals with applications to biology
  • 17/12/19 Member of the Jury of the doctoral thesis of Marie Ernst (Université de Liège), thesis title : Contribution to spatial data analysis and Stein’s method
  • 21/06/19 Member of the Jury of the doctoral thesis of Kees Mulder (Utrecht University), thesis title : Bayesian Circular Statistics : Von Mises-based solutions to practical problems
  • 01/19 Foreign expert of the doctoral thesis of Matias Heikkilä (Aalto University) : On Multivariate Extreme Value Theory
  • 20/12/18 Member of the Jury of the doctoral thesis of Gilles Nisol (Université libre de Bruxelles), thesis title : Three essays on Functional Time Series and Factor Analysis
  • 06/18 Foreign expert of the doctoral thesis of Iñaki Leguey (Universidad Politécnica de Madrid), thesis title : Directional-linear Bayesian networks and applications in neuroscience
  • 11/12/17 Foreign expert of the doctoral thesis of Jose Ameijeiras-Alonso (Universidade de Santiago de Compostela), thesis title : Assessing simplifying hypotheses in density estimation
  • 10/11/16 Member (secretary) of the Jury of the doctoral thesis of Rémi Dendievel (Université libre de Bruxelles), thesis title : Sequential stopping under different environments of weak information
  • 12/12/14 Member of the Jury of the doctoral thesis of Eduardo García-Portugués (Universidade de Santiago de Compostela, Spain), thesis title : Nonparametric inference with directional and linear data
  • 26/11/12 Member of the Jury of the doctoral thesis of Juan Francisco Rosco Nieves (Universidad de Extremadura, Spain), thesis title : Aplicaciones de la transformación sinh-arcsinh y problemas relacionados (Applications of the sinh-arcsinh transform and related problems)

Doctoral Advisory Committee

  • 2018-present PhD committee of Jozefina Argyrou, Universiteit Gent, Belgium
  • 2017-2020 PhD committee of Tim Bal, Universiteit Gent, Belgium
  • 2016-2017 PhD committee of Emilie Clette, Université de Liège, Belgium

Organisation of conferences

  • 06/22 Advances in Directional Statistics 2020, International Workshop co-organized with R. Crujeiras (Univ. de Santiago de Compostela), G. Jona-Lasinio (Sapienza Univ. di Roma), F. Lagona (Roma 3 Univ.), A. Pewsey (Univ. de Extremadura) and A. Rodriguez-Casal (Univ. de Santiago de Compostela) and bringing together the worldwide experts in Directional Statistics, Santiago De Compostela, Spain
  • 10/21 Colloque international de la Société Française de Statistique sur les Sondages, Brussels, Belgium
  • 09/11/20 1st Virtual Symposium on Directional Statistics, Online conference, co-organized with F. Pfaff, K. Li and U. Hanebeck (Karlsruher Inst. für Technologie)
  • 13-14/12/17 Workshop on Semiparametric Statistics, Ghent University, Gent, Belgium
  • 08-09/06/17 Advances in Directional Statistics 2017, International Workshop co-organized with G. Jona-Lasinio (Sapienza Univ. di Roma), F. Lagona (Roma 3 Univ.) and A. Pewsey (Univ. de Extremadura) and bringing together the worldwide experts in Directional Statistics, Rome, Italy
  • 15-16/09/16 Flexible statistical modeling : past, present and future, International Workshop co-organized with Y. Dominicy (Univ. libre de Bruxelles), A. Pewsey (Univ. de Extremadura), Javier Rubio (Univ. of Warwick) and Johan Segers (Univ. Catholique de Louvain) and bringing together the worldwide experts in Flexible modeling, Ghent, Belgium
  • 10-11/09/15 A path through probability in honor of F. Thomas Bruss, Brussels, Belgium
  • 20-22/05/14 Advances in Directional Statistics, International Workshop co-organized with A. Pewsey (Univ. de Extremadura) and Thomas Verdebout (Univ. Lille 3) and bringing together the worldwide experts in Directional Statistics, Brussels, Belgium
  • 26-27/11/13 International Year of Statistics 2013, Conference jointly organized by the CRP Santé, CEPS/Instead, the Université du Luxembourg (for which Yvik Swan and I have been the representatives in the organizing committee), STATEC, Artemis and Sogeti in order to honor the year of statistics in Luxembourg, Luxembourg-ville, Luxembourg
  • 10-11/06/13 Caractérisations de lois probabilistes et applications, Conference supported by the Hubert Curien Grant, Brussels, Belgium
  • 21-25/05/12 44e Journées de Statistique, Brussels, Belgium
  • 10/06/11 Time series analysis and computational statistics, Conference in honor of Guy Mélard, Brussels, Belgium
  • 04/03/11 One-Day Conference on Latest Developments in Financial Econometrics, Brussels, Belgium
  • 15-16/10/10 Conference on Quantifying and Understanding Dysfunctionality of Financial Markets, Leuven and Brussels, Belgium
  • 13-15/10/10 18th Annual Meeting of the Belgian Statistical Society, Spa, Belgium
  • 26-27/03/10 Conference on recent developments in the theory and practice of heavy-tailed distributions, Brussels, Belgium
  • 27-28/11/09 Non-parametric statistics and time series, Conference in honor of Marc Hallin, Brussels, Belgium

Organisation of sessions at conferences

  • 18-20/12/21 Session organizer at the 13th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, Uk
  • 3-5/12/21 Session organizer at the International Sports Medicine Congress and 18th Turkish Sports Medicine Congress, Online
  • 22-26/07/19 Invited Session organizer (“Directional Statistics”) at the European Meeting of Statisticians (EMS), Palermo, Italy
  • 03-07/06/19 Session organizer at the 51èmes Journées de Statistique de la SFdS (JdS 2019), Nancy, France
  • 14-16/12/18 Session organizer at the 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, Pisa, Italy
  • 28-31/08/18 Invited Session organizer (“Stein’s Method in Statistics”) at the 23rd International Conference on Computational Statistics (COMPSTAT 2018), Iasi, Romania
  • 16-18/12/17 Session organizer at the 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, UK
  • 09-11/12/16 Session organizer at the 9th International Conference of the ERCIM WG on Computational and Methodological Statistics, Sevilla, Spain
  • 06-08/06/16 Responsible of the 4 Sessions "Probability and Statistics" at the 2nd Joint Conference of the Belgian, Luxembourgish and Royal Spanish Mathematical Societies, Rioja, Spain
  • 12-14/12/15 Track and Session organizer at the 8th International Conference of the ERCIM WG
  • on Computational and Methodological Statistics, London, UK06-08/12/14 Track and Session organizer at the 7th International Conference of the ERCIM WG on Computational and Methodological Statistics, Pisa, Italy
  • 14-16/12/13 Session organizer at the 6th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, UK



Last updated on: 06 jan 2022

Organisation of summer schools

In 2007, I have created, with Yvik Swan, the Brussels Summer School of Mathematics (BSSM) at the Université libre de Bruxelles. The aim of the BSSM is to present, in a friendly atmosphere, to secondary school students, teachers and university students different aspects of mathematical sciences and research, as well as their inherent joy, beauty and usefulness. After 3 students in the first year (2007), the BSSM now has each year about 100 participants (the 6th edition in 2013 was the last year I took part in the organisation). In 2012, I received the Wernaers Prize for the idea and organisation of the BSSM.

Science dissemination talks

  • 9. Overview on statistical research talk, Lions Club Amitiés Luxembourg, October 11 2021
  • 8. Dissemination talk during the FNR Chercheurs à l’Ecole days, March 2021
  • 7. Dissemination talk during the “Science Café” of the FNR Researcher’s Days, November 30 2019
  • 6. Unimath day of Universiteit Gent, Ghent, February 5 2020 : Voetbal ontmoet statistiek : een nieuwe FIFA ranking
  • 5. Unimath day of Universiteit Gent, Ghent, February 6 2019 : Voetbal ontmoet statistiek : een nieuwe FIFA ranking
  • 4. Unimath day of Universiteit Gent, Ghent, February 7 2018 : Voetbal ontmoet statistiek : een nieuwe FIFA ranking
  • 3. Unimath day of Universiteit Gent, Ghent, February 8 2017 : Voetbal ontmoet statistiek : een nieuwe FIFA ranking
  • 2. Closing Talk at the 8th Brussels Summer School of Mathematics, Brussels, August 7 2015 : Faut-il être normal pour être normal ?
  • 1. Invited popularisation conference at the Institut pédagogique Defré-Haute Ecole de Bruxelles, March 2011

Science dissemination papers

  • 4. Maths et sports - quand les statistiques sont plus que des nombres, Maths Express (thème : Statistique et Sport), 87–92 (2021)
  • 3. Les mathématiques, un grand défi de cette pandémie (coauthors : P. Mangers and I. Nourdin), Tageblatt, June 2020
  • 2. Brussels Summer of Mathematics (coauthor : Y. Swan), lecture notes, 37 pages (2009)
    1. Brussels Summer of Probability and Optimisation (coauthor : Y. Swan), lecture notes, 36 pages (2008)



Last updated on: 06 jan 2022

Université du Luxembourg

  • 2021–2022 Advanced Statistics (MA1 Master of Data Science), Statistique en Médecine (BA1 Medicine)
  • 2019 Advanced Statistical Analysis, UL Doctoral course
  • 2018 Statistics for Research (with a focus on natural sciences), UL Transferable Skills course
  • 2016 Statistics for Research (with a focus on natural sciences), UL Transferable Skills course

Universiteit Gent

  • 2021–2022 Statistiek en Probabiliteit (BA2 Informatics)
  • 2020–2021 Statistiek I (BA2 Mathematics), Wiskunde 3 en Geostatistiek (BA2 Geology), Statistiek en Probabiliteit (BA2 Informatics), Statistical Inference (MA1 Mathematics and Adv. MA Statistical Data Analysis), Data Mining and Big Data Science (Adv. MA Statistical Data Analysis), Capita Selecta (MA2 Mathematics), Literature Study (MA1 Mathematics)
  • 2019–2020 Statistiek I (BA2 Mathematics), Wiskunde 3 en Geostatistiek (BA2 Geology), Statistiek en Probabiliteit (BA2 Informatics), Statistical Inference (MA1 Mathematics and Adv. MA Statistical Data Analysis), Data Mining and Big Data Science (Adv. MA Statistical Data Analysis)
  • 2018–2019 Statistiek I (BA2 Mathematics), Wiskunde 3 en Geostatistiek (BA2 Geology), Statistiek en Probabiliteit (BA2 Informatics), Statistical Inference (MA1 Mathematics and Adv. MA Statistical Data Analysis), Data Mining and Big Data Science (Adv. MA Statistical Data Analysis), Capita Selecta (MA2 Mathematics), Literature Study
  • (MA1 and MA2 Mathematics)
  • 2017–2018 Statistiek I (BA2 Mathematics), Wiskunde 3 en Geostatistiek (BA2 Geology), Statistiek en Probabiliteit (BA2 and BA3 Informatics), Statistical Inference (MA1 Mathematics and Adv. MA Statistical Data Analysis), Data Mining and Big Data Science (Adv. MA Statistical Data Analysis), Capita Selecta (MA2 Mathematics), Literature Study (MA1 and MA2 Mathematics)
  • 2016–2017 Ruimtelijke Analyse 1 (BA2 Geography), Wiskunde 3 en Geostatistiek (BA2 Geology), Statistische Gegevensanalyse (BA3 Informatics), Statistical Inference (MA1 Mathematics and Adv. MA Statistical Data Analysis), Data Mining and Big Data Science (Adv. MA Statistical Data Analysis)
  • 2015–2016 Statistiek (BA2 Geography), Wiskunde 3 en Geostatistiek (BA2 Geology), Statistische Gegevensanalyse (BA3 Informatics), Statistical Inference (MA1 Mathematics and Adv. MA Statistical Data Analysis), Data Mining and Big Data Science (Adv. MA Statistical Data Analysis), Literature Study (MA2 Mathematics)

Université libre de Bruxelles

  • 2014–2015 Probabilités (BA2 Mathematics), Estimation Theory (Adv. MA Quantitative Finance)
  • 2013–2014 Probabilités (BA2 Mathematics), Numerical Methods (Adv. MA Quantitative Finance), Advanced regression analysis (MA1 Statistics and MA1 Actuarial Sciences), Travaux de Recherche Mathématique (BA3 Mathematics)
  • 2012–2013 Probabilités (BA2 Mathematics)
  • 2007–2012 Teaching Assistant for the courses : Probabilités (BA2 Mathematics), Analyse Multivariée (BA3 Mathematics, MA1 Statistics and MA1 Actuarial Sciences), Probabilités et Statistique (BA1 Mathematics)
  • 2006–2007 Student Teaching Assistant (Elève-Assistant) for the courses : Algèbre linéaire et géométrie 1 (BA1 Mathematics), Eléments de Statistique (BA1 Social Sciences)



Last updated on: 06 jan 2022

Post-docs

  • ? ? 2022 N. Senthil Murugan (Université du Luxembourg) : Data Science
  • Dec. 2019 – Dec. 2020 Luciana De Michelis Mendonça (Ghent University) : Complex systems theory in sports injury (joint supervision with Erik Witvrouw (Ghent University, Department of Rehabilitation Sciences, Faculty of Medicine))

PhD students

  • Mar. 2020 – present Ola Rønning (University of Copenhagen) : Deep probabilistic programming for protein structure prediction (joint supervision with Thomas Hamelryck, University of Copenhagen)
  • Jan. 2020 – present Damian Mingo Ndiwago (Université du Luxembourg) : Uncertainty, precision and reliability of eco-hydrological models (joint supervision with Jack Hale, Université du Luxembourg, and Stanislaus Schymanski, Luxembourg Institute of Science and Technology)
  • Oct. 2017 – present Hans Van Eetvelde (Universiteit Gent) : Improved ranking systems and injury prediction methods in sports via statistical and machine learning approaches
  • Oct. 2017 – June 30 2021 Slažana Babic (Universiteit Gent) : Advances in flexible models and efficient statistical procedures for heavy-tailed and asymmetric data (joint supervision with David Veredas, Vlerick Business School)
  • Mar. 2017 – June 25 2021 Fatemeh Ghaderinezhad (Universiteit Gent) : Probabilistic distances and Bayesian statistics : new insights on and methods for the choice of the prior Visiting PhD students
  • Jan.–June 2019 Muhammad Aslam (Quaid-i-Azam University), Pakistan, supervisor : Prof. Zahid Ashghar, research stay funded by Higher Education Commission, Pakistan
  • Jan. 2018 Jolien Cremers (Utrecht University), The Netherlands, supervisor : Prof. Irene Klugkist, research stay funded by the Netherlands Organisation for Scientific Research (NWO)
  • Jan.–March 2016 Jose Ameijeiras-Alonso (Universidad de Santiago de Compostela), Spain, supervisors : Profs. Rosa Crujeiras and Alberto Rodriguez-Casal, research stay funded by the Ministry of Science Innovation and Universities, Spain
  • Jan.–Feb. 2015 Andreas Anastasiou (Oxford University), UK, supervisor : Prof. Gesine Reinert, research stay funded by Oxford University

Visiting PhD students

  • Jan.–June 2019 Muhammad Aslam (Quaid-i-Azam University), Pakistan, supervisor : Prof. Zahid Ashghar, research stay funded by Higher Education Commission, Pakistan
  • Jan. 2018 Jolien Cremers (Utrecht University), The Netherlands, supervisor : Prof. Irene Klugkist, research stay funded by the Netherlands Organisation for Scientific Research (NWO)
  • Jan.–March 2016 Jose Ameijeiras-Alonso (Universidad de Santiago de Compostela), Spain, supervisors : Profs. Rosa Crujeiras and Alberto Rodriguez-Casal, research stay funded by the Ministry of Science Innovation and Universities, Spain
  • Jan.–Feb. 2015 Andreas Anastasiou (Oxford University), UK, supervisor : Prof. Gesine Reinert, research stay funded by Oxford University



Last updated on: 06 jan 2022

Books

  • 3. Science meets Sports : when Statistics are more than Numbers (co-editor : Y. Dominicy), Cambridge Scholars Publishing (2020)
  • 2. Applied Directional Statistics : Modern Methods and Case Studies (co-editor : T. Verdebout), Chapman & Hall/CRC Press (2019)
  • 1. Modern Directional Statistics (co-author : T. Verdebout), Chapman & Hall/CRC Press, Boca Raton, FL (2017)

Book chapters

  • 9. Generalized Skew-Symmetric Circular and Toroidal Distributions (coauthors : A. Bekker, N. Nakhaei Rad, M. Arashi), in “Directional Statistics for Innovative Applications - A Bicentennial Tribute to Florence Nightingale” (SenGupta, A. and
  • Arnold, B.C., eds), Springer, in press
  • 8. Modelling earthquakes : characterizing magnitudes and inter-arrival times (coauthor : R. Simone), in “Computational and Methodological Statistics and Biostatistics. Emerging Topics in Statistics and Biostatistics” (Bekker, A., Chen, G. and Ferreira,
  • J., eds), Springer, Cham, 29–50 (2020)
  • 7. Bedeutung neuer Technologien in der Prävention (coauthors : T. Tischer, B. Grimm, M. W. Hoppe, J. Freiwald and L. Weisskopf), in Primärprävention von Sportverletzungen und -schäden, R. Seil and T. Tischer (eds.), VOPELIUS Jena, ISBN : 978-3-947303-22-9, 141–150 (2020)
  • 6. On the impact of the choice of the prior in Bayesian statistics (coauthor : F. Ghaderinezhad), in “Bayesian Inference for Complicated Data” (N. Tang editor, ISBN 978-1-83880-386-5), IntechOpen (2020)
  • 5. Ranking Methods in Soccer (coauthor : H. Van Eetvelde), in R.S. Kenett, T.N. Longford, W. Piegorsch and F. Ruggeri (eds.) Wiley StatsRef : Statistics Reference Online. Wiley, Hoboken, NJ, USA (2019)
  • 4. Directional Distributions (coauthor : K. Mardia), in Balakrishnan, N., Colton, T., Everitt, B., Piegorsch, W., Ruggeri, F. and Teugels, J. (eds.) Wiley StatsRef : Statistics Reference Online. Wiley, Hoboken, NJ, USA (2018)
  • 3. Runs tests (coauthor : D. Paindaveine), in Encyclopedia of Environmetrics Second Edition, A.-H. El-Shaarawi and W. Piegorsch (eds). John Wiley & Sons Ltd, Chichester, UK, 2474–2481 (2012)
  • 2. Skew distributions, in Encyclopedia of Environmetrics Second Edition, A.-H. El-Shaarawi and W. Piegorsch (eds). John Wiley & Sons Ltd, Chichester, UK, 1944–1949 (2012)
  • 1. Permutation tests (coauthor : M. Hallin), in Encyclopedia of Environmetrics Second Edition, A.-H. El-Shaarawi and W. Piegorsch (eds). John Wiley & Sons Ltd, Chichester, UK, 209–210 (2012)

Papers published or in press

  • 72. Coming together of Bayesian inference and skew spherical data (coauthors : N. Nakhaei Rad, A. Bekker and M. Arashi), Frontiers in Big Data, in press
  • 71. The Wasserstein Impact Measure (WIM) : a practical tool for quantifying prior impact in Bayesian statistics (coauthors : F. Ghaderinezhad and B. Serrien), Computational Statistics & Data Analysis, in press
  • 70. Editorial : Artificial Intelligence and Machine Learning – An Introduction for Orthopaedic Surgeons (coauthors : K. Martin, A. Pareek, A. Groll, T. Tischer and R. Seil), Knee Surgery, Sports Traumatology, Arthroscopy, in press
  • 69. When the Score Function is the Identity Function - a Tale of Characterizations of the Normal Distribution, Econometrics & Statistics, in press
  • 68. The Probabilistic Final Standing Calculator : a fair stochastic tool to handle abruptly stopped football seasons (coauthors : H. Van Eetvelde and L. M. Hvattum), AStA Advances in Statistical Analysis, in press
  • 67. Sine-skewed toroidal distributions and their application in protein bioinformatics (coauthor : J. Ameijeiras-Alonso), Biostatistics, in press
  • 66. Elliptical Symmetry Tests in R (coauthors : S. Babic and M. Palangetic), R Journal, in press
  • 65. How injury registration and preseason assessment are being delivered : an international survey of sports physical therapists (coauthors : L. De Michelis Mendonça, J. Schuermans, E. Wezenbeek, IFSPT Research Committee, and E. Witvrouw), Physical Therapy in Sport 53, 151–157 (2022)
  • 64. How prevention programs are being structured and implemented worldwide : an international survey of sports physical therapists (coauthors : L. De Michelis Mendonça, J. Schuermans, E. Wezenbeek, IFSPT Research Committee and E. Witvrouw), Physical Therapy in Sport 53, 143–150 (2022)
  • 63. Some simple variance bounds from Stein’s method (coauthors : F. Daly, F. Ghaderinezhad and Y. Swan), ALEA, Latin American Journal of Probability and Mathematical Statistics 18, 1845-1858 (2021)62. The safety of bilateral simultaneous hip and knee arthroplasty versus staged arthroplasty in a high volume center comparing blood lost, peri- and postoperative complications, and early functional outcome (coauthors : M. Najfeld, T. Kalteis, C. Spiegler and R. Hube), Journal of Clinical Medicine 10, 4507 (2021)
  • 61. Time-efficient Bayesian inference for a (skewed) von Mises distribution on the torus in a Deep Probabilistic Programming Language (coauthors : O. Rønning, K.V. Mardia and T. Hamelryck), Proceedings of the 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2021) (2021)
  • 60. Modelling COVID-19 dynamics and paths to herd immunity by vaccination in Austria, Luxembourg and Sweden (coauthors : F. Kemp, D. Proverbio, A. Aalto, L. Mombaerts, A. Fouquier D’Herouël, A. Husch, J. Gonçalves, A. Skupin, and S. Magni), Journal of Theoretical Biology 530, 110874 (2021)
  • 59. Optimal tests for elliptical symmetry : specified and unspecified location (coauthors : S. Babic, L. Gelbgras and M. Hallin), Bernoulli 27, 2189–2216 (2021)
  • 58. Evaluation of Directed Graph-mapping in complex Atrial Tachycardias (coauthors : E. Van Nieuwenhuyse, T. Strisciuglio, G. Lorenzo, M. El Haddad, J. Goedgebeur, N. Van Cleemput, A. V. Panfilov, J. de Pooter, Y. Vandekerckhove, R. Tavernier, M. Duytschaever, S. Knecht and N. Vandersickel), JACC : Clinical Electrophysiology 7, 936–949 (2021)
  • 57. On optimal tests for circular reflective symmetry about an unknown central direction (coauthors : J. Ameireijas-Alonso, A. Pewsey and T. Verdebout), Statistical Papers 62, 1651–1674 (2021)
  • 56. EM algorithm using overparameterization for the multivariate skew-normal distribution (coauthors : T. Abe, H. Fujisawa and T. Kawashima), Econometrics & Statistics 19, 151–168 (2021)
  • 55. Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks (coauthors : D. Proverbio, F. Kemp, S. Magni, A. Husch, A. Aalto, L. Mombaerts, A. Skupin, J. Gonçalves and J. Ameijeiras-Alonso), PLoS ONE 16(5), e0252019 (2021)
  • 54. Machine learning methods in sport injury prediction and prevention : A systematic review (coauthors : H. Van Eetvelde, L. De Michelis Mendonça, R. Seil and T. Tischer), Journal of Experimental Orthopaedics 8, 27 (2021)
  • 53. Evaluating one-shot tournament predictions (coauthors : C.T. Ekstrøm, H. Van Eetvelde and U. Brefeld), Journal of Sports Analytics 7, 37–46 (2021)
  • 52. Thomas A. Severini (2020) : Analytic Methods in Sports - Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, book review, Statistical Papers 62, 1091–1092 (2021)
  • 51. Identification of optimal wind turbine parameters for varying wind climates using a novel month-based turbine performance index (coauthors : G.K. Gugliani, A. Sarkar and V. Matsagar), Renewable Energy 171, 902–914 (2021)
  • 50. Motion-control shoes reduce the risk of pronation-related pathologies in recreational runners : a secondary analysis of a randomized controlled trial (coauthors : T. Willems, E. Goetghebeur, D. Theisen and L. Malisoux), Journal of Orthopaedic & Sports Physical Therapy 51, 135–143 (2021) (This paper has been chosen by the Editor as “Read for Credit” paper in the March 2021 issue)
  • 49. Flexible Models for Complex Data with Applications (coauthors : S. Babic and D. Craens), Annual Review of Statistics and Its Application 8, 18.1-18.23 (2021)
  • 48. Regression models for cylindrical data in psychology (coauthors : J. Cremers and H.J.M. Pennings), Multivariate Behavioral Research 55, 910–925 (2020)
  • 47. Invited Paper : Data-centric Engineering in modern Science from the perspective of a statistician, an engineer and a software developer (coauthors : M. Tibolt and D. Fromme), Data-Centric Engineering 1, e2 (2020)
  • 46. A new generator for proposing flexible lifetime distributions and its properties (coauthors : M. Aslam, Z. Hussain, Z. Asghar and S. F. Shah), PLoS ONE 15, e0231908 (2020)
  • 45. Bayesian inference for skew-symmetric distributions (coauthors : F. Ghaderinezhad and N. Loperfido), Symmetry 12, 491 (2020)
  • 44. A hybrid random forest to predict soccer matches in international tournaments (coauthors : A. Groll, G. Schauberger and H. Van Eetvelde), Journal of Quantitative Analysis in Sports 15, 271–288 (2019)
  • 43. Comparison and classification of flexible distributions for multivariate skew and heavy-tailed data (coauthors : S. Babic and D. Veredas), Symmetry 11, Special Issue on “Recent Advances on Symmetry in Mathematical Statistics”, 1216 (2019)
  • 42. How to classify, detect, and manage univariate and multivariate outliers, with emphasis on pre-registration (coauthors : C. Leys, M. Delacre, Y.L. Mora and D. Lakens), International Review of Social Psychology 32 :5, 1–10 (2019)
  • 41. Invited Paper : Paul de Octopus 2 - Hoe we met statistiek en machine learning het WK voetbal probeerden te voorspellen (coauthor : H. Van Eetvelde), STAtOR 20, 20–22 (2019)
  • 40. Ranking soccer teams on basis of their current strength : a comparison of maximum likelihood approaches (coauthors : T. Van de Wiele and H. Van Eetvelde), Statistical Modelling 19, 55–77 (2019)39. Quantification of the impact of priors in Bayesian statistics via Stein’s Method (coauthor : F. Ghaderinezhad), Statistics and Probability Letters 146, 206–212 (2019)
  • 38. What makes Data Science different ? A discussion involving Statistics2.0 and Computational Sciences (coauthor : S.P.A. Bordas), International Journal of Data Science and Analytics 6, 167–175 (2018)
  • 37. New methods to assess wind resources in terms of wind speed, load, power and direction (coauthors : G. K. Gugliani, A. Sarkar and S. Mandal), Renewable Energy 129A, 168–182 (2018)
  • 36. Natural (non-)informative priors for skew-symmetric distributions (coauthors : H. Dette and F.J. Rubio), Scandinavian Journal of Statistics 45, 405–420 (2018)50. Motion-control shoes reduce the risk of pronation-related pathologies in recreational runners : a secondary analysis of a randomized controlled trial (coauthors : T. Willems, E. Goetghebeur, D. Theisen and L. Malisoux), Journal of Orthopaedic & Sports Physical Therapy 51, 135–143 (2021) (This paper has been chosen by the Editor as “Read for Credit” paper in the March 2021 issue)
  • 49. Flexible Models for Complex Data with Applications (coauthors : S. Babic and D. Craens), Annual Review of Statistics and Its Application 8, 18.1-18.23 (2021)
  • 48. Regression models for cylindrical data in psychology (coauthors : J. Cremers and H.J.M. Pennings), Multivariate Behavioral Research 55, 910–925 (2020)
  • 47. Invited Paper : Data-centric Engineering in modern Science from the perspective of a statistician, an engineer and a software developer (coauthors : M. Tibolt and D. Fromme), Data-Centric Engineering 1, e2 (2020)
  • 46. A new generator for proposing flexible lifetime distributions and its properties (coauthors : M. Aslam, Z. Hussain, Z. Asghar and S. F. Shah), PLoS ONE 15, e0231908 (2020)
  • 45. Bayesian inference for skew-symmetric distributions (coauthors : F. Ghaderinezhad and N. Loperfido), Symmetry 12, 491 (2020)
  • 44. A hybrid random forest to predict soccer matches in international tournaments (coauthors : A. Groll, G. Schauberger and H. Van Eetvelde), Journal of Quantitative Analysis in Sports 15, 271–288 (2019)
  • 43. Comparison and classification of flexible distributions for multivariate skew and heavy-tailed data (coauthors : S. Babic and D. Veredas), Symmetry 11, Special Issue on “Recent Advances on Symmetry in Mathematical Statistics”, 1216 (2019)
  • 42. How to classify, detect, and manage univariate and multivariate outliers, with emphasis on pre-registration (coauthors : C. Leys, M. Delacre, Y.L. Mora and D. Lakens), International Review of Social Psychology 32 :5, 1–10 (2019)
  • 41. Invited Paper : Paul de Octopus 2 - Hoe we met statistiek en machine learning het WK voetbal probeerden te voorspellen (coauthor : H. Van Eetvelde), STAtOR 20, 20–22 (2019)
  • 40. Ranking soccer teams on basis of their current strength : a comparison of maximum likelihood approaches (coauthors : T. Van de Wiele and H. Van Eetvelde), Statistical Modelling 19, 55–77 (2019)
  • 39. Quantification of the impact of priors in Bayesian statistics via Stein’s Method (coauthor : F. Ghaderinezhad), Statistics and Probability Letters 146, 206–212 (2019)
  • 38. What makes Data Science different ? A discussion involving Statistics2.0 and Computational Sciences (coauthor : S.P.A. Bordas), International Journal of Data Science and Analytics 6, 167–175 (2018)
  • 37. New methods to assess wind resources in terms of wind speed, load, power and direction (coauthors : G. K. Gugliani, A. Sarkar and S. Mandal), Renewable Energy 129A, 168–182 (2018)
  • 36. Natural (non-)informative priors for skew-symmetric distributions (coauthors : H. Dette and F.J. Rubio), Scandinavian Journal of Statistics 45, 405–420 (2018)35. Mutual point-winning probabilities (MPW) : a new performance measure for table tennis (coauthors : Y. Dominicy and W. Bruneel), Journal of Sports Sciences 36, 2684–2690 (2018)
  • 34. Invited Opinion paper : Analysis of biological and biomedical data with circular statistics (coauthor : D. Craens), Biostatistics and Biometrics Open Access Journal 5, 555671 (2018)
  • 33. Detecting multivariate outliers : Use a robust variant of the Mahalanobis distance (coauthors : C. Leys, O. Klein and Y. Dominicy), Journal of Experimental Social Psychology 74, 150–156 (2018)
  • 32. A tractable, parsimonious and highly flexible model for cylindrical data, with applications (coauthor : T. Abe), Econometrics and Statistics 4, 91–104 (2017)
  • 31. Asymptotic properties of QML estimators for VARMA models with time-dependent coefficients (coauthors : A. Alj, R. Azrak and G. Mélard), Scandinavian Journal of Statistics 44, 617–635 (2017)
  • 30. Skew-rotationally-symmetric distributions and related efficient inferential procedures (coauthor : T. Verdebout), Journal of Multivariate Analysis 159, 67–81 (2017)
  • 29. Bounds for the asymptotic normality of the maximum likelihood estimator using the Delta method (coauthor : A. Anastasiou), ALEA, Latin American Journal of Probability and Mathematical Statistics 14, 153–171 (2017)
  • 28. Distances between nested densities and a measure of the impact of the prior in Bayesian statistics (coauthors : G. Reinert and Y. Swan), Annals of Applied Probability 27, 216–241 (2017)
  • 27. Stein’s Method for comparison of univariate distributions (coauthors : G. Reinert and Y. Swan), Probability Surveys 14, 1–52 (2017)
  • 26. Efficient ANOVA for directional data (coauthors : Y. Swan and T. Verdebout), Annals of the Institute of Statistical Mathematics 69, 39–62 (2017)
  • 25. Parametric Stein operators and variance bounds (coauthor : Y. Swan), Brazilian Journal of Probability and Statistics 30, 171–195 (2016)
  • 24. A general parametric Stein characterisation (coauthor : Y. Swan), Statistics and Probability Letters 111, 67–71 (2016)
  • 23. Efficient inference about the tail weight in multivariate Student t distributions (coauthor : A. Neven), Journal of Statistical Planning and Inference 167, 123–134 (2015)
  • 22. Invited discussion of “On families of distributions with shape parameters” by M.C. Jones (coauthor : D. Paindaveine), International Statistical Review 83, 202–207 (2015)
  • 21. Depth-based runs tests for bivariate central symmetry (coauthors : R. Dyckerhoff and D. Paindaveine), Annals of the Institute of Statistical Mathematics 67, 917–941 (2015)
  • 20. High-dimensional tests for spherical location and spiked covariance (coauthors : D. Paindaveine and T. Verdebout), Journal of Multivariate Analysis 139, 79–91 (2015)19. Flexible modelling in statistics : past, present and future, Journal de la Société Française de Statistique 156, 76–96 (2015)
  • 18. Efficiency combined with simplicity : new testing procedures for Generalized Inverse Gaussian models (coauthor : A.E. Koudou), TEST 23, 708–724 (2014)
  • 17. Local powers of optimal one- and multi-sample tests for the concentration of Fishervon Mises-Langevin distributions (coauthor : T. Verdebout), International Statistical Review 82, 440–456 (2014)
  • 16. Characterisations of GIG laws : a survey (coauthor : A.E. Koudou), Probability Surveys 11, 161–176 (2014)
  • 15. Skew-Symmetric Distributions and Fisher Information : the double sin of the skewnormal (coauthor : M. Hallin), Bernoulli 20, 1432–1453 (2014)
  • 14. A new concept of quantiles for directional data and the angular Mahalanobis depth (coauthors : C. Sabbah and T. Verdebout), Electronic Journal of Statistics 8, 795–816 (2014)
  • 13. Simple optimal tests for circular reflective symmetry about a specified median direction (coauthor : T. Verdebout), Statistica Sinica 14, 1319–1340 (2014)
  • 12. Maximum likelihood characterisation of distributions (coauthors : M. Duerinckx and Y. Swan), Bernoulli 20, 775-802 (2014)
  • 11. Local Pinsker inequalities via Stein’s discrete density approach (coauthor : Y. Swan), IEEE Transactions on Information Theory 59, 5584–5591 (2013)
  • 10. A Stochastic Analysis of Table Tennis (coauthors : Y. Dominicy and Y. Swan), Brazilian Journal of Probability and Statistics 27, 467–486 (2013)
  • 9. Detecting outliers : Do not use standard deviation around the mean, use absolute deviation around the median (coauthors : C. Leys, O. Klein, P. Bernard and L. Licata), Journal of Experimental Social Psychology 49, 764–766 (2013)
  • 8. Stein’s density approach and information inequalities (coauthor : Y. Swan), Electronic Communications in Probability 18, 1–14 (2013)
  • 7. Optimal R-estimation of a spherical location (coauthors : Y. Swan, B. Thiam and T. Verdebout), Statistica Sinica 23, 305–332 (2013)
  • 6. Maximum likelihood characterisation of rotationally symmetric distributions on the sphere (coauthor : M. Duerinckx), Sankhya Series A 74, 249–262 (2012)
  • 5. Skew-symmetric distributions and Fisher information - a tale of two densities (coauthor : M. Hallin), Bernoulli 18, 747–763 (2012)
  • 4. On Fisher Information Matrices and Profile Log-Likelihood Functions in Generalized Skew-Elliptical Models (coauthor : D. Paindaveine), METRON International Journal of Statistics 68, Special Issue on “Skew-symmetric and flexible distributions”, 235– 250 (2010)
  • 3. Multivariate skewing mechanisms : a unified perspective based on the transformation approach (coauthor : D. Paindaveine), Statistics and Probability Letters 80, 1685–1694 (2010)
  • 2. On the Singularity of Multivariate Skew-Symmetric Models (coauthor : D. Paindaveine), Journal of Multivariate Analysis 101, 1434–1444 (2010)
  • 1. Le Cam optimal tests for symmetry against Ferreira and Steel’s general skewed distributions (coauthor : D. Paindaveine), Journal of Nonparametric Statistics 21, 943–967 (2009)



Last updated on: 06 jan 2022

International meetings and conferences

  • 58. Geometry and Statistics in Data Sciences, Paris, November 21 2022 : (Invited Speaker)
  • 57. 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Online, December 18-20 2021: Directional statistics and protein bioinformatics : recent developments (Invited speaker)
  • 56. International Sports Medicine Congress and 18th Turkish Sports Medicine Congress, Online, December 3-5 2021 : Data science and sports injury risk reduction : the point of view of the data scientists
  • 55. Sportmedica Congress 2021, Luxembourg, October 16 2021 : The use of artificial intelligence in sports medicine - quo vadis ? (Invited Speaker)
  • 54. 6th Canadian Conference in Applied Statistics "Statistics 2021 Canada", Online, July 15-18 2021 : Sine-skewed toroidal distributions and their application in protein bioinformatics (Invited speaker)
  • 53. 63rd ISI World Statistics Congress 2021 (ISI WSC 2021), Online, July 11-16 2021 : Sport Statistics - when Figures are more than Numbers (Invited speaker)
  • 52. 4th International Conference on Econometrics and Statistics (EcoSta 2021), Online, June 24-26 2021 : Optimal tests for elliptical symmetry (Invited Speaker)
  • 51. Mathsport International 2021, Online, June 24-25 2021 : The Probabilistic Final Standing Calculator : a fair stochastic tool to handle abruptly stopped football seasons
  • 50. 5th AUEB Sports Analytics Workshop (AUEB SAW2021), Online, May 25-26 2021 : The Probabilistic Final Standing Calculator : a fair stochastic tool to handle abruptly stopped football seasons (Invited Speaker)
  • 49. Sportmed Tagung 2021 / Journée Sportmed 2021, Online, May 20 2021 : Einsatz von KI in der Sportmedizin - wo stehen wir ? (Invited Speaker)
  • 48. Sports, Medicine and Health Summit, Online, April 20-24 2021 : Einsatz von künstlicher Intelligenz in der Sportmedizin - quo vadis ? (Invited speaker)
  • 47. Focused Research Workshop on Stein’s Method and Time Series, Online, March 29-31 2021 : New insights on the impact of the prior in Bayesian Statistics via Stein’s Method (Invited speaker)
  • 46. Séminaire Statistique et Sport de la SFdS, March 11 2021 : Probabilistic Final Standing Calculator : un outil stochastique pour mieux évaluer des saisons de football abruptement stoppées (Invited Speaker)
  • 45. 13th International Conference of the ERCIM WG on Computational and Methodological Statistics, Online, December 19-21 2020 : Sine-skewed toroidal distributions and their application in protein bioinformatics (Invited speaker)
  • 44. Online Talk at the 1st Virtual Symposium on Directional Statistics, November 9 2020 : Sine-Skewed Distributions for Protein Angles
  • 43. Keynote Webinar, with subsequent round table discussion, for the event “Statistics in sports” (initiative of the ISI SIG on Sport, the International project Big Data Analytics in Sports, and Kick-off meeting of the European network S-TRAINING), September 18 2020 : Machine Learning in Sports Medicine
  • 42. Invited Online Talk at the 28th Annual Meeting of the European Orthopaedic Research Society, September 17-18 2020 : Machine learning for orthopaedic researchers and clinicians - good practices, pragmatic advise and mistakes to avoid
  • 41. Plenary Talk at the ASA conference on “Statistics for Health and Well-being”, Brescia, September 25-27 2019 : Statistics meets Sports - when figures are more than numbers (Keynote Speaker)
  • 40. 51èmes Journées de Statistique de la SFdS (JdS 2019), Nancy, June 3-7 2019 : What makes Data Science different ? A discussion involving Statistics2.0 and Computational Sciences (Invited Speaker)
  • 39. VDE Forum “Künstliche Intelligenz” : Hype oder ultimativer Turbo für Industrie 4.0, Hannovermesse, Hannover, April 2 2019 : KI durch Random Forests - wie Maschinen Fussball vorhersagen (Invited Speaker)
  • 38. International Football Congress 2019, Luxembourg, March 8 2019 : Performance Prediction in Football (Invited Speaker)
  • 37. 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, Pisa, December 14-16 2018 : Modulated-symmetry-type skew distributions for directional data (Invited speaker)
  • 36. International Table Tennis Congress 2018, Luxembourg, November 23-24 2018 : Mutual point-winning probabilities : a new performance measure for table tennis (Invited speaker)
  • 35. Workshop “Sports Analytics on Soccer” at the TU Dortmund, Dortmund, November 12 2018 : Ranking soccer teams on basis of their current strength : a comparison of maximum likelihood approaches (Invited speaker)
  • 34. BayesComp 2018, Barcelona, March 26-28 2018 : A Probabilistic Measure of the Impact of the Prior in Bayesian statistics (Invited speaker)
  • 33. Machine Learning Workshop “Logic and Engineering”, Universiteit Gent, Ghent, December 21 2017 : Modelling football match outcomes : towards a new FIFA ranking (Invited speaker)
  • 32. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, December 16-18 2017 : Optimal tests for circular reflective symmetry (Invited speaker)
  • 31. “BDSports : Big Data Analytics in Sports” Workshop, University of Brescia, Brescia, November 2017 : An alternative ranking for national soccer teams based on strength parameters (Keynote speaker)
  • 30. Opening Lecture at the 25th Annual Meeting of the Belgian Statistical Society, Leuven, October 2017 : A probabilistic measure of the impact of the prior in Bayesian statistics (Invited inaugural talk)
  • 29. ADISTA17 Workshop, Roma Tre University, Rome, June 8-9 2017 : Skew-rotationallysymmetric distributions and tests for rotational symmetry (Invited speaker)
  • 28. 4th Young Mathematician Colloquium, Vrije Universiteit Brussel, June 2 2017 : Does one have to be normal to be normal ? (Invited speaker)
  • 27. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics, Sevilla, December 9-11 2016 : Optimal tests for elliptical symmetry about a specified center (Invited speaker)
  • 26. Workshop on Circular Data Modeling (CDM), Utrecht, November 2016 : Cylindrical Data Modelling (Invited speaker)
  • 25. Special session speaker at the 24th Annual Meeting of the Belgian Statistical Society, Namur, October 2016 : It’s all about that Bayes : a novel approach to build (non-)informative priors for shape parameters
  • 24. Conference of the Italian Statistical Society, Salerno, June 8-10 2016 : The WeiSSVM : a tractable, parsimonious and flexible model for cylindrical data (Invited speaker)
  • 23. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, December 2015 : The WeiSSVM : a tractable, parsimonious and highly flexible model for cylindrical data (Invited speaker)
  • 22. Plenary Invited Marie-Jeanne Laurent-Duhamel Award Talk at the 46e Journées de Statistique, Rennes, June 2014 : Théorie de Le Cam et tests de symétrie : du cadre linéaire classique aux données directionnelles
  • 21. International Workshop “Advances in Directional Statistics”, Université libre de Bruxelles, Brussels, May 20-22 2014 : Optimal tests for reflective/rotational symmetry
  • 20. 6th International Conference of the ERCIM WG on Computational and Methodological Statistics (ERCIM 2013), University of London, London, December 14-16 2013 : A new concept of quantiles for directional data (Invited Speaker)
  • 19. International Workshop “Stein’s Method and related topics”, Université de Lorraine, Nancy, October 21-22 2013 : Stein’s method and the influence of the prior in Bayesian statistics (Invited Speaker)
  • 18. European Conference on Data Analysis, Université du Luxembourg, Luxembourg-ville, July 10-12 2013 : A new concept of quantiles for directional data
  • 17. Leeds Annual Statistical Research workshops, University of Leeds, Leeds, July 2-4 2013 : Simple optimal tests for circular reflective symmetry about a known median direction
  • 16. Conference “Caractérisations de lois probabilistes et applications”, Université libre de Bruxelles, Brussels, June 10-11 2013 : Caractérisations de type Stein et leur utilité (inattendue) dans divers domaines
  • 15. 4th International Conference on Mathematics in Sport, Katholieke Universiteit Leuven, Leuven, June 5-7 2013 : A stochastic analysis of table tennis
  • 14. 45e Journées de Statistiques, Université de Toulouse, Toulouse, May 27-31 2013 : Caractérisations de lois probabilistes via le maximum de vraisemblance
  • 13. 6th PhD Day of the Graduate School in Statistics, Biostatistics and Actuarial Sciences, Université catholique de Louvain, Louvain-la-Neuve, September 14 2012 : Univariate and Multivariate Skewed Distributions – a Return to Abnormality (Invited
  • Plenary speaker)
  • 12. 1st Joint Conference of the Belgian, Royal Spanish and Luxembourg Mathematical Societies, Université de Liège, Liège, June 2012 : Maximum Likelihood characterisations of distributions : a generalisation of Gauss’ principle (Invited speaker)
  • 11. 44e Journées de Statistiques, Université libre de Bruxelles, Brussels, Belgium, May 2012 : Depth-based runs tests for bivariate central symmetry
  • 10. 10th German Probability and Statistics Days, Johannes Gutenberg-Universität Mainz, Mainz, March 2012 : Optimal R-estimation of a spherical location
  • 9. 19th Annual Meeting of the Belgian Statistical Society, Hasselt, October 2011 : A unified (statistical) approach to continuous and discrete Stein characterisations
  • 8. CFE 2010 & ERCIM 2010, University of London, London, December 2010 : Depthbased runs tests for multivariate central symmetry (Invited speaker)
  • 7. 4th Annual PhD-Day, Université de Gembloux, Gembloux, May 2010 : Bivariate runs tests for symmetry
  • 6. 17th Annual Meeting of the Belgian Statistical Society, Lommel, October 2009 : On the Singularities in Skew-Symmetric Models (Poster)
  • 5. S. Co. 2009, Sixth Conference, Milano, September 2009 : On the Singularity of Multivariate Skew-Symmetric Models (Invited speaker)
  • 4. Fourth Brussels-Waseda Seminar on Time Series and Financial Statistics, Brussels, June 2009 : On the Singularity of Fisher Information in Multivariate Skew-Symmetric Density Families
  • 3. Workshop on Skew Symmetric Distributions, Return to ab-normality, Benevento, March 2009 : On optimal tests for symmetry and general multivariate skewing mechanisms (Invited speaker)
  • 2. 16th Annual Meeting of the Belgian Statistical Society, Wépion, October 2008 : General multivariate skewing mechanisms
  • 1. Second Brussels-Waseda Seminar on Time Series and Financial Statistics, Brussels, June 2008 : General multivariate skewing mechanisms

Other invited talks

  • 44. Keynote Talk at the Bachelor Diploma Ceremony of the Faculty of Science, Technology and Medicine, Université du Luxembourg, December 14 2021 : Retour aux sources : d’étudiant en 2003 à professeur en 2021
  • 43. Statistics Seminar at the University of Manchester, November 24 2021 : Directional statistics and protein bioinformatics : a flexible approach
  • 42. Séminaire à l’Université de Liège, October 14 2021 : The Probabilistic Final Standing Calculator : a fair stochastic tool to handle abruptly stopped football seasons
  • 41. Online Séminaire Probabilités et Statistiques IECL at Université de Lorraine, March 18 2021 : Nouveaux développements en statistique grâce à la méthode de Stein
  • 40. Online Seminar at Imperial College London, March 5 2021 : A measure of the impact of the prior
  • 39. Online Opening Lecture of QED, the group of alumni of Mathematics from Ghent University, December 17 2020 : De wiskunde achter Corona : Epidemiologische modellen en simulaties
  • 38. Online Seminar at University of Pretoria, September 17 2020 : A hybrid random forest to predict soccer matches in international tournaments
  • 37. Closing Talk at the 12th Brussels Summer School of Mathematics, Brussels, September 6 2019 : Comment l’Intelligence Artificielle a battu l’Intelligence Humaine dans la prédiction de la Coupe du Monde 2018
  • 36. Seminar at the Katholieke Universiteit Leuven, Leuven, February 21 2019 : Skew and Multi-tailed Multivariate Distributions - A Need in Finance
  • 35. Seminar at the London School of Economics, London, January 25 2019 : Skew and Multi-tailed Multivariate Distributions - A Need in Finance
  • 34. Seminar at Bonn University, Bonn, January 10 2019 : A hybrid random forest to predict soccer matches in international tournaments
  • 33. Joint LSS Presentation (with Agnieszka Walczak) at the Conférence et débat “Sondages électoraux”, Luxembourg, July 11 2018 : Statistique et sondages électoraux
  • 32. Seminar at the Université Paris Diderot (Paris 7), Paris, June 12 2018 : Qui gagnera la Coupe du Monde de foot ? Une prédiction basée sur diverses techniques statistiques
  • 31. Seminar at the Université Catholique de Louvain, Louvain-la-Neuve, December 1 2017 : An alternative ranking for national soccer teams based on strength parameters
  • 30. Seminar at the University of Turin, Torino, May 9 2017 : Model-based Ranking Systems in Soccer : Towards an Alternative FIFA Ranking
  • 29. Seminar at the Université libre de Bruxelles, Bruxelles, March 16 2017 : Model-based Ranking Systems in Soccer : Towards an Alternative FIFA Ranking
  • 28. Seminar at the Université de Liège, Liège, February 6 2017 : It’s all about that Bayes : a novel approach to build (non-)informative priors for shape parameters
  • 27. Seminar at Katholieke Universiteit Leuven, Leuven, November 17 2016 : A probabilistic measure of the impact of the prior in Bayesian statistics
  • 26. Seminar at the Friedrich-Alexander Universität Nürnberg, Nürnberg, July 6 2016 : It’s all about that Bayes : a novel approach to build (non-)informative priors for shape parameters
  • 25. Inaugural Lecture at the Universiteit Gent, Ghent, March 25 2016 : Various aspects of mathematical statistics
  • 24. Invited Speaker at a round table about “The PhD - a weapon for success ?” at the 23rd Annual Meeting of the Belgian Statistical Society, Antwerpen, October 14 2015
  • 23. Plenary talk at the Rentrée Académique of the Mathematics Department of the Université de Liège, Liège, October 14 2015 : Faut-il être normal pour être normal ?
  • 22. Séminaire Rencontres Statistiques Lyonnaises, Université Claude Bernard Lyon 1, Lyon, February 23 2015 : Méthodes statistiques modernes pour l’analyse de données directionnelles
  • 21. Seminar at the University of Warwick, Warwick, October 8 2014 : Stein’s method, information theory and Bayesian statistics
  • 20. STATEC Economic Seminar, STATEC, Luxembourg-ville, August 26 2014 : Flexible modelling : a timeless challenge in statistics and economics
  • 19. Econometrics and Statistics Seminar, University of Tilburg, Tilburg, April 23 2014 : Stein’s method, information theory and Bayesian statistics
  • 18. Statistics Seminar, University of Cambridge, Cambridge, February 7 2014 : Stein’s method, information theory and Bayesian statistics
  • 17. Statistics and Probability Seminar, University of Bristol, Bristol, December 13 2013 : Stein’s method and the influence of the prior in Bayesian statistics
  • 16. Seminar at the Ruhr-Universität Bochum, Bochum, October 7 2013 : Symmetry VS Asymmetry in statistics : recent advances and new challenges (in German)
  • 15. Séminaire de Probabilités, Université Lille 1, Lille, February 8 2013 : Caractérisations de lois probabilistes via le maximum de vraisemblance
  • 14. Séminaire de Probabilités et Statistiques, Université de Lorraine, Nancy, January 31 2013 : Caractérisations de lois probabilistes via le maximum de vraisemblance
  • 13. Seminar at the Mathematics Department of the Universidad de Extremadura, Badajoz, November 27 2012 : A unified perspective on univariate and multivariate skewing methods
  • 12. Invited lecturer at the Math Camp of the European Center for Advanced Research in Economics and Statistics (ECARES), topic : Linear Algebra, Brussels, September 2012
  • 11. General Mathematics Seminar, Université du Luxembourg, Luxembourg-ville, May 8 2012 : Maximum Likelihood characterisation theorems : a generalisation of Gauss’ principle
  • 10. Statistics and Econometrics Seminar, Université Lille 3, Lille, March 29 2012 : Caractérisations via le Maximum de Vraisemblance : une généralisation du principe de Gauss
  • 9. Joint ULB-UCL Seminar, Université libre de Bruxelles, Brussels, March 2 2012 : Maximum likelihood characterisations of distributions : a generalisation of Gauss’ result
  • 8. Séminaire généraliste de Probabilités et Statistiques, Institut Elie Cartan, Université de Lorraine, Nancy, January 26 2012 : Lien entre la méthode de Stein et la théorie de l’information
  • 7. Probability Seminar, Université du Luxembourg, Luxembourg-ville, December 5 2011 : On a connection between Stein characterisations and Fisher information (with Y. Swan, ULB)
  • 6. Invited lecturer at the Math Camp of the European Center for Advanced Research in Economics and Statistics (ECARES), topic : Linear Algebra, Brussels, September 2011
  • 5. Probability Seminar, Université du Luxembourg, Luxembourg-ville, May 12 2011 : On Stein characterisations
  • 4. Statistics and Econometrics Seminar, Université Lille 3, Lille, January 13 2011 : Depth-based runs tests for multivariate central symmetry
  • 3. Séminaire des doctorants, Université libre de Bruxelles, Brussels, November 2009 : Statistique [ Probabilité = Biomathématique (with M. Gathy, ULB)
  • 2. Séminaire des doctorants, Université libre de Bruxelles, Brussels, October 2009 : Sur deux conjectures liées à la loi skew-normale
  • 1. Séminaire des doctorants, Université libre de Bruxelles, Brussels, October 2008 : L’asymétrie dans le monde statistique - une approche multivariée générale



Last updated on: 06 jan 2022