Jean-Stanislas Denain

I’m a second-year PhD student in Statistics at UC Berkeley, advised by Jacob Steinhardt. I’m interested in using neural network interpretability tools to make AI systems trustworthy. Before moving to the Bay Area, I studied applied mathematics at École polytechnique.

You can find me on Github and Google Scholar, or reach out via email. If you want to schedule a meeting, you can find a slot here.


Grounding Representation Similarity with Statistical Testing
Frances Ding, Jean-Stanislas Denain, Jacob Steinhardt
NeurIPS 2021
[blog post], [code], [data]


STAT157/260: Forecasting
[syllabus], [calendar], [leaderboard]