معرفی
Daniel Valesin is an Associate Professor of Mathematics at the Johann Bernoulli Institute, University of Groningen, specializing in Interacting Particle Systems, Percolation Theory, and Random Graphs. His work bridges probability theory and statistical mechanics with applications in network science and epidemic modeling.
His academic journey includes:
- B.Sc. from Fundação Getulio Vargas, Brazil (2000-2004)
- M.Sc. from Instituto de Matemática Pura e Aplicada, Brazil (2005-2007)
- Ph.D. from Ecole Polytechnique Fédérale de Lausanne, Switzerland (2007-2011)
- Post-doctoral fellowship at University of British Columbia, Canada (2011-2014)
Valesin's research centers on stochastic processes on graphs, with particular emphasis on phase transitions in contact processes, percolation models, and voter dynamics. His theoretical frameworks address metastability, extinction times, and spatial correlations in complex networks, contributing to fundamental understanding of epidemic spread and critical phenomena.
Analysis of his 15 most recent publications reveals consistent focus on contact process dynamics across diverse network structures (random graphs, trees, lattices) and percolation models with long-range interactions. Key trends include rigorous asymptotic analysis, metastability characterization, and exploration of how network topology influences phase transitions.
His notable recognitions include:
- NWO Top Module 2 Grant for epidemic modeling on dynamic networks
- University of Groningen's Mathematics Teacher of the Year (2014-2015)
- Canadian Government Post-doctoral Fellowship (2011-2014)
Valesin actively mentors doctoral researchers including Réka Szabó, Pedro Luis Barrios Pantoja (co-supervised with Milton Jara), Eric Ossami Endo (completed 2018), and Gabriel Leite Baptista da Silva. His NWO-funded project exemplifies his commitment to translating theoretical advances into network epidemic insights. Collaborations span an international network including Aernout van Enter, Thomas Mountford, and Jean-Christophe Mourrat.
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