Timothée Poisot is a full professor in the Department of Biological Sciences at the University of Montreal and director of the Laboratory for Predictive and Interpretable Ecology for the Biodiversity Crisis. His research, at the interface of biodiversity, data science, and epidemiology, aims to better understand how biodiversity loss driven by climate change translates into increased risks for human populations.
In recent years, he has developed novel predictive approaches to map the risk of emergence of new bat-borne beta-coronaviruses, identify hotspots where novel zoonotic virus hosts remain unrecognized, and trace pathways by which rabies-carrying raccoons are likely to reach Quebec.
Passionate about quantitative methods, Timothée contributes to maintaining the largest open data ecosystem for pandemic prediction in collaboration with the Verena Institute (viralemergence.org). He also serves on the Scientific Committee of Calcul Québec and is a member of the steering committee for the MonarQ quantum supercomputer.
