I am a research scientist at Bosch Research (Sunnyvale, USA), where I work on computer vision problems for autonomous driving. I’m broadly interested in model interpretability and the “science” of deep learning — figuring out what deep models are actually doing, and why they work as well as they do.

I completed my PhD at EPFL / Idiap with François Fleuret, and a postdoc at Harvard with Hima Lakkaraju. For more information, please see my research themes and publications.

I’m always happy to chat about interpretability or the science of deep learning — feel free to reach out!

News
May 2026"Explainability Research Must Prioritize Foundations over Ad-hoc Methods" is accepted at ICML 2026 position paper track. PDF coming soon!
Mar 2026Serving as Area Chair at NeurIPS 2026
Mar 2026"WayPoint: Interactive Natural Language Querying for Spatio-Temporal Video Events" accepted at SIGMOD 2026 demo track
Jan 2026"Evaluating Adversarial Robustness of Concept Representations in Sparse Autoencoders" accepted at EACL 2026
May 2025"How Much Can We Forget about Data Contamination?" accepted at ICML 2025
Nov 2024Joined Bosch Research, Sunnyvale as Research Scientist