Daniele Proverbio
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| Faculty or Centre | Luxembourg Centre for Systems Biomedicine | ||||
| Department | Systems Control | ||||
| Postal Address |
Université du Luxembourg 6, avenue du Swing L-4367 Belvaux |
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| Campus Office | BioTech II, 0.06 | ||||
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| Telephone | (+352) 46 66 44 5096 | ||||
| Fax | (+352) 46 66 44 35096 | ||||
PhD student in the Systems Control group (Gonçalves Lab)
Academic Area: physics
Research topics: dynamical systems, system biology, agent-based modelling
Background:
- 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: Friday, 20 December 2019
2021
Stages of COVID-19 pandemic and paths to herd immunity by vaccination: dynamical model comparing Austria, Luxembourg and Sweden; ; ; ; ; ; ; ; ;
E-print/Working paper (2021)
Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks.; ; ; ; ; ; ; ; ;
in PloS one (2021), 16(5), 0252019
2020
FastField: An Open-Source Toolbox for Efficient Approximation of Deep Brain Stimulation Electric Fields; ; ; ;
in NeuroImage (2020)
COVID-19 Crisis Management in Luxembourg: Insights from an Epidemionomic Approach; ; ; ; ; ; ; ; ; ; ;
E-print/Working paper (2020)
Assessing suppression strategies against epidemicoutbreaks like COVID-19: the SPQEIR model; ; ; ; ; ; ; ; ;
E-print/Working paper (2020)
2019
A Multi-agent approach for in silico simulations of micro-biological systems; ; ; ;
E-print/Working paper (2019)
Dynamical strategies for obstacle avoidance during Dictyostelium discoideum aggregation: a Multi-agent system model;
E-print/Working paper (2019)
