Biographie
Audrey obtained a Master’s degree in Electrical Engineering from Université Laval, where she collaborated with researchers from the Department of Social and Preventive Medicine to evaluate and improve several prevention activities. She then completed a Ph.D. in Electrical Engineering, also at Université Laval, where she focused on the online reinforcement learning algorithms of the bandit family. In collaboration with various researchers, she used these algorithms to learn adaptive cancer treatment strategies in animal models and to optimize high-resolution imaging. She is now a postdoctoral researcher at McGill University, where she devotes her time to the study of online decision-making and the application of machine learning to health challenges.