Maximilian Touzel
Research Scientist at Mila - Quebec Artificial Intelligence Institute
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolMaximilian Touzel is a research scientist and computational modeller with a decade of experience at the interface of behavioural science and machine learning, now based at Mila in Montreal. Trained in statistical physics and neuroscience (PhD Göttingen) and with honours degrees in math and physics from Toronto, he excels at quickly absorbing new domains and formulating core theoretical problems that lead to practical algorithmic solutions. His work spans computational theory, data science, and NLP—recently applying topic models to large-scale open-ended climate change surveys to reveal latent public concerns. A technical generalist, he combines deep modelling skills with project supervision, team-building and community-organizing around research interests. He is motivated by value-driven applications addressing societal dilemmas like climate change and AI alignment, seeking roles that blend algorithm research with human–AI interaction. Colleagues note his rare mix of rigorous theory, broad empirical fluency, and clear communication across interdisciplinary teams.
10 years of coding experience
5 years of employment as a software developer
Honours Master's of Science, Physics, Honours Master's of Science, Physics at University of TorontoUniversity of Toronto - University of Trinity CollegePhD Physics, Neuroscience, PhD Physics, Neuroscience at The University of Göttingen
Github Skills (10)
igor8
immunology7
simulation6
multi-agent6
sequencing5
agent-based-simulation4
inference3
cpp2
refactoring1
slurm1
Programming languages (5)
Github contributions (5)
mptouzel/bayes_diffexpr
Apr 2019 - May 2020
Contributions:22 commits, 7 pushes, 2 branches in 1 year
sandbox-social/silisocs
Oct 2024 - Jun 2026
Silicon Society Sandbox (SiliSocS) is an versatile and extensible experimentation system for EASE-configured generative multi-agent simulations
Contributions:8 reviews, 21 PRs, 85 pushes in 1 year 7 months
multi-agent
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