I am an assistant professor at l’UdeM in charge of accelerating AI research in Veterinary Medicine. I am passionate about working with data to optimize the use of natural resources while promoting animal, human and environmental health. My research focuses on understanding how economic incentives of production can affect animal, human, and environmental health. I routinely use statistical tools, including machine learning, time series, network analysis, system dynamics, and regression models.

I have participated in national and international conferences, led quantitative workshops, taught university courses, collaborated with researchers from various countries, and written several peer-reviewed publications and outreach articles.

I currently co-direct PIAAS, a group hosted at the Faculté de médecine vétérinaire, that develops AI research on agrifood and animal health. As a faculty, I am also part of IVADO and actively collaborate with the Consortium Santé Numérique.

In my free time, I love doing outdoor activities, including sports and traveling.

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