Maxime Gasse

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Associate Academic Member
Maxime Gasse
Affiliated Research Scientist, École Polytechnique de Montréal
Maxime Gasse

The fundamental question that drives my research is, can machines think ?

Maxime is a machine learning researcher at Polytechnique Montréal, and an associate academic member of the MILA research institute. After obtaining a PhD in computer science dedicated to the problem of structure learning in probabilistic graphical models (PGMs), Maxime has been working on a variety of interdisciplinary topics, such as machine learning and medical imaging, or machine learning and combinatorial optimization. Today Maxime is mostly interested in studying if and how ideas from causality can help in the design of autonomous learning agents.