Summary
Maximilian 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.
9 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 Toronto
University of Toronto - University of Trinity College
PhD Physics, Neuroscience, PhD Physics, Neuroscience at The University of Göttingen