Published multiple papers including 'Distributional Unlearning: Forgetting Distributions, Not Just Samples', 'Towards Trustworthy Federated Learning with Untrusted Participants' and more. A full list is available on his personal webpage.
Research Experience
Working on trustworthy machine learning.
Education
PhD in Computer Science from EPFL, the Swiss Federal Institute of Technology in Lausanne; Bachelor's in Mathematics and Computer Science from Ecole Polytechnique; Conducted research at Amazon and Stanford University.
Background
Research interests include privacy, robustness, and unlearning, especially in distributed settings.