I am a postdoctoral research fellow in computer science at Harvard University where I work with Hima Lakkaraju. I completed my PhD from Idiap Research Institute & EPFL, Switzerland, advised by François Fleuret.

I am interested in mathematically and scientifically understanding deep learning, usually through the lens of interpretability, robustness and computational efficiency of models. For more details, please see my latest publications.

I am an organizer on the Theory of Interpretable AI online seminar series, and previously for the XAI in Action workshop at NeurIPS 2023. I was involved also in teaching an interpretable ML course at Harvard during spring 2023.