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 2026 | Serving 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 2024 | Joined Bosch Research, Sunnyvale as Research Scientist |