Maxime Gasse

Maxime Gasse

Senior Research Scientist

About me

I am currently Member of Technical Staff @ Microsoft AI. I am also adjunct professor at Polytechnique Montreal by courtesy, and associate member of the Mila research institute. Before that I was

  • Senior Research Scientist at ServiceNow, where I did research at the intersection of causal inference and reinforcement learning, and where I developed the BrowserGym library to evaluate web agents.
  • Researcher and Post-Doc at Polytechnique Montreal, where I worked on machine learning for combinatorial optimization with Laurent Charlin and Andrea Lodi.
  • Post-Doc at INSA Lyon where I worked on machine learning for medical imaging with Fabien Milloz and Denis Friboulet.
  • PhD student at Université Lyon 1 where I studied probabilistic graphical models with Haytham Elghazel and Alex Aussem.

I am fascinated by the question of artificial intelligence: can we build machines that think? I humbly believe that our attempts at designing thinking machines can be a path towards a fundamental understanding of intelligence and of ourselves. I am interested in questioning if and how ideas from the field of causality can help in the design of autonomous learning agents (paper, talk).

I am proud to serve the scientific community, and I am currently Action Editor for TMLR. I have been rewarded NeurIPS 2019 best reviewer (top 40%), ICML 2020 best reviewer (top 30%), NeurIPS 2020 top reviewer (top 10%), ICLR 2021 outstanding reviewer (top 10%), ICML 2021 expert reviewer, NeurIPS 2022 top reviewer (top 10%), and TMLR expert reviewer.

Here is my personal, curated list of inspiring reads about artificial intelligence, software engineering and scientific research: