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Daniele Proverbio

Daniele Proverbio

Postdoctoral researcher

Faculté ou Centre Luxembourg Centre for Systems Biomedicine
Department Interventional Neuroscience
Adresse postale Université du Luxembourg
Maison du Nombre
6, Avenue de la Fonte
L-4364 Esch-sur-Alzette
Bureau sur le campus MNO, E02 0225-100
Téléphone (+352) 46 66 44 5096

PhD student in the Interventional Neuroscience group (Hertel Lab)

Academic Area: physics

Research topics: dynamical systems, system biology, agent-based modelling


  • November 2018: Doctoral candidate at LCSB’s Systems Control group
  • 2018: Master’s degree in Physics of Complex Systems (University of Turin, Italy)

 Current research:

My project primarily concerns the classification of driving mechanisms for abrupt regime shifts in dynamical systems. In particular, I am investigating how fluctuations can be informative in detecting bifurcations and rate-induced regime shifts in low dimensional systems. I am also working on applications of general theory on paradigmatic models for systems biology.

Last updated on: mercredi 02 novembre 2022

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See detailInitialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data
Baniasadi, Mehri; Husch, Andreas; Proverbio, Daniele; fernandes arroteia, Isabel; Hertel, Frank; Goncalves, Jorge

in Bildverarbeitung für die Medizin 2022 (2022)

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See detailOn regime shifts in biological research
Proverbio, Daniele

Presentation (2022)

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See detailPerformance of early warning signals for disease re-emergence: A case study on COVID-19 data
Proverbio, Daniele; Kemp, Francoise; Magni, Stefano; Goncalves, Jorge

in PLoS Computational Biology (2022), 18(3), 1009958

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See detailModel-based assessment of COVID-19 epidemic dynamics by wastewater analysis
Proverbio, Daniele; Kemp, Francoise; Magni, Stefano; Ogorzaly, Leslie; Cauchie, Henry-Michel; Goncalves, Jorge; Skupin, Alexander; Aalto, Atte

in Science of the Total Environment (2022), 827

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See detailBuffering variability in cell regulation motifs close to criticality
Proverbio, Daniele; Noronha Montanari, Arthur; Skupin, Alexander; Goncalves, Jorge

in Physical Review. E. (2022)

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See detailCOVID-19 Crisis Management in Luxembourg: Insights from an Epidemionomic Approach
Burzynski; Machado, Joel; Aalto, Atte; Beine, Michel; Haas, Tom; Kemp, Francoise; Magni, Stefano; Mombaerts, Laurent; Picard, Pierre M; Proverbio, Daniele; Skupin, Alexander; Docquier, Frédéric

in Economics and Human Biology (2021), 43

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See detailModelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden
Kemp, Francoise; Proverbio, Daniele; Aalto, Atte; Mombaerts, Laurent; Fouquier d'herouël, Aymeric; Husch, Andreas; Ley, Christophe; Goncalves, Jorge; Skupin, Alexander; Magni, Stefano

in Journal of Theoretical Biology (2021)

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See detailAlmost global convergence to practical synchronization in the generalized Kuramoto model on networks over the n-sphere
Markdahl, Johan; Proverbio, Daniele; Mi, La; Goncalves, Jorge

in Communications Physics (2021), 4

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See detailDynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks.
Proverbio, Daniele; Kemp, Francoise; Magni, Stefano; Husch, Andreas; Aalto, Atte; Mombaerts, Laurent; Skupin, Alexander; Goncalves, Jorge; Ameijeiras-Alonso, Jose; Ley, Christophe

in PloS one (2021), 16(5), 0252019

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See detailFastField: An Open-Source Toolbox for Efficient Approximation of Deep Brain Stimulation Electric Fields
Baniasadi, Mehri; Proverbio, Daniele; Goncalves, Jorge; Hertel, Frank; Husch, Andreas

in NeuroImage (2020)

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See detailRobust synchronization of heterogeneous robot swarms on the sphere
Markdahl, Johan; Proverbio, Daniele; Goncalves, Jorge

in 2020 59th IEEE Conference on Decision and Control (CDC) (2020)

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See detailAssessing the robustness of decentralized gathering: a multi‐agent approach on micro‐biological systems
Proverbio, Daniele; Gallo, Luca; Passalacqua, Barbara; Pellegrino, Jacopo; Maggiora, Marco

in Swarm Intelligence (2020), 14

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See detailAssessing suppression strategies against epidemicoutbreaks like COVID-19: the SPQEIR model
Proverbio, Daniele; Kemp, Francoise; Magni, Stefano; Husch, Andreas; Aalto, Atte; Mombaerts, Laurent; Goncalves, Jorge; Skupin, Alexander; Ameijeiras-Alonso, Jose; Ley, Christophe

E-print/Working paper (2020)

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