Equipo ISGlobal

Víctor López de Rioja holds a Ph.D. in Environmental Sciences as well as B.Sc. and M.Sc. degrees in Physics and Nuclear Physics from the Universitat de Barcelona. His research career began with work on reaction-diffusion equations and mathematical modeling, leading to publications on virus interactions and population dynamics. During his first postdoctoral position in the BIOCOM-SC group at the Universitat Politècnica de Catalunya (UPC), he developed real-time prediction models for SARS-CoV-2 cases and hospitalizations. This work resulted in several publications and the creation of a public forecasting platform for COVID-19 in Catalonia.

Currently, Víctor is a postdoctoral researcher in the Malaria Immunology group at ISGlobal, focusing on the immune response to SARS-CoV-2 infection and other endemic diseases. He uses advanced statistical methods to analyze the impact of co-infections and clinical-demographic variables on immune responses, particularly in sub-Saharan Africa. Moreover, as an adjunct professor at UPC, he also has extensive teaching experience in physics and has supervised numerous undergraduate and master's theses.

Looking ahead, his research aims to focus on the intersection of epidemiology and immunology, using his expertise in mathematical modeling and statistical analysis to study infectious diseases and their broader public health implications.

Líneas de investigación

• Mathematical modeling of infectious diseases.
• Immunological response analysis.
• Epidemiological forecasting and public health interventions

Principales publicaciones

• de Rioja V.L., Perramon A., Alonso S., et al. Mathematical modeling of SARS-CoV-2 variant substitutions in European countries: Transmission dynamics and epidemiological insights. Front Public Health 12 (2024).
• de Rioja V.L., Basile L., Perramon A., et al. Severity of Omicron Subvariants and Vaccine Impact in Catalonia, Spain. Vaccines 12 (2024).
• Isern N., Fort J., & de Rioja V.L. The ancient cline of haplogroup K implies that the Neolithic transition in Europe was mainly demic. Sci Rep 7 (2017).
• de Rioja V., Isern N., & Fort J. A mathematical approach to virus therapy of glioblastomas. Biol Direct 11 (2016).
• Conesa D., de Rioja V., Guillón T., et al. A mixture of mobility and meteorological data provides a high correlation with COVID-19 growth in an infection-naive population: a study for Spanish provinces. Front Public Health 12 (2024).