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Mr.   Ripoll Misse, Jordi

Personal page

Category
PROFESSOR AGREGAT
Department
INFORMÀTICA, MATEMÀTICA APLICADA I ESTADÍSTICA
Area of knowledge
MATEMÀTICA APLICADA
Research group
Grup de Recerca en Equacions Diferencials, Modelització i Aplicacions
ORCID PRC:
0000-0002-1186-0175

Brief CV

Dr. Jordi Ripoll (he/him/his) is Associate Professor at the Department of Computer Science, Applied Mathematics and Statistics at the University of Girona (UdG), where he is member of the research project “Stochastic and Deterministic Models. Applications in Biosciences” and the consolidated research group 2021 SGR 00113. 

He received his Ph.D. degree in mathematical sciences from the University of Barcelona (UB) in 2005. His main interest is in population dynamics applied to ecology and epidemiology. He has worked on structured population dynamics, models for biological evolution, and epidemic models with the formalism of the complex networks. He was visiting professor in Mathematical Biology at Cornell University, March-May 2022, Department of Ecology and Evolutionary Biology (EEB).

He made a postdoctoral research stay at the University of Trento (Italy) during 2006 and 2007, and he is co-author of several papers in international journals and conferences dealing with a wide range of topics: from the gut microbiota of animals, or failures in telecommunication networks, to metapopulations with diffusion of individuals among patches. Currently he has focused on the computation of the Basic reproduction number (R_0) from the analytical and numerical points of view, and the analysis of discrete-time epidemic models.

He has also acted as referee for several scientific journals and has been financed by successive research projects in public calls. On the other hand, he has taught a varied mathematical teaching since 1996 in three different universities in Spain: UdG, UNED and UOC. 

Research interests in Mathematical Biology include:

 * Discrete-time epidemic/ecological models.

 * Basic reproduction number in constant/periodic environments.

 * PDEs and REs for continuously structured populations.

 * Biological evolution.

 * Bifurcation theory: Hopf.

 

Further information: http://imae.udg.edu/~jripoll


ORCID ID: 0000-0002-1186-0175. 

ResearcherID: L-4579-2014. 

Scopus Author ID: 7006514381. 

Mathematical Reviews Author ID: 698993.

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