I am a postdoctoral research fellow at Harvard University where I work with Prof. Hima Lakkaraju on the foundations of post-hoc interpretability for deep learning.
I completed my PhD at Idiap Research Institute & EPFL in Switzerland, where I was advised by Prof. François Fleuret. My PhD thesis on the pitfalls of gradient-based explanation methods in deep learning received the EPFL thesis distinction award in electrical engineering.
I completed my Masters (by Research) at the Indian Institute of Science, Bangalore, where I was advised by Prof. Venkatesh Babu, and I worked on model compression of deep neural networks.
Research interests: theory of interpretability, robustness & uncertainty quantification, model compression, generative modelling, theory of deep learning
I’m currently on the industry job market. If you think I’d be a good fit to your organization, do not hesitate to contact me!