Olivier Restif

Olivier Restif is a Fellow at the University of Cambridge, affiliated with the School of Biological Sciences and the Department of Veterinary Medicine. His research focuses on infectious diseases, disease ecology, zoonotic diseases, bat viruses, and antimicrobial resistance. He employs mathematical and statistical models to design, analyse, and interpret empirical studies of infectious disease dynamics. His work integrates techniques such as mathematical models, statistical inference, epidemic models, numerical simulations, and stochastic models. Restif's research explores areas for collaboration within disease ecology and related research themes.

Olivier Restif is an Associate Professor in Epidemiology at the University of Cambridge, specializing in infectious diseases, mathematical models, and One Health. His research focuses on understanding the ecology, evolution, and spillover of coronaviruses from bats, as well as the dynamics of zoonotic disease emergence. He develops mathematical frameworks to study the transmission of pathogens, including rabies and Salmonella, and explores the role of wildlife and domestic animals in disease spread. His work also addresses antimicrobial resistance, population dynamics, and the impact of human behavior on zoonotic risks. Restif integrates ecological and epidemiological data to inform public health strategies and improve disease control.