Philippe Desjardins-Proulx

Postdoctoral researcher studying A.I. applied to ecology/evolution at the Université de Montréal

Philippe Desjardins-Proulx is a computational scientist with a Ph.D. focusing on automatic revision of scientific theories. He specializes in higher-order probabilistic programming, combining mathematical and probabilistic reasoning. His expertise includes machine learning, Bayesian data analysis, and high-performance computing.

Philippe has worked on theoretical population genetics, evolutionary theory, and theoretical ecology as part of his Ph.D. studies. He holds degrees in Mathematics and Biology, Machine Learning & Ecology, as well as specialization in Bioinformatics with a focus on machine learning and statistics.

His educational background includes postdoctoral fellowship in Artificial Intelligence at Université de Montréal, Doctor of Philosophy from Université de Sherbrooke, and a graduate certificate in Bioinformatics from the University of Illinois Chicago. Philippe has also studied at Stanford University.

He has held positions such as Postdoctoral Researcher at Université de Montréal, Consultant at Independent, PHD Candidate at Université de Sherbrooke, and Research Professional at Canada Research Chair on Terrestrial Ecology.