Published multiple papers such as 'Smoothed Analysis with Adaptive Adversaries' in Journal of the ACM, 'Optimal PAC Bounds Without Uniform Convergence' in FOCS 2023, etc.; Recipient of the Apple AI/ML Fellowship; Presented at several international conferences.
Research Experience
Current Postdoctoral Fellow at FODSI, MIT, hosted by Costis Daskalakis, Ankur Moitra, and Sasha Rakhlin; Internships at Microsoft Research India, Apple, and others.
Education
PhD - University of California, Berkeley, Advisor: Nika Haghtalab; Undergraduate - Indian Institute of Science, Major in Mathematics, Advisor: Bhavana Kanukurthi.
Background
Research Interests: Theoretical and practical aspects of machine learning, designing simple algorithms with provable guarantees, robustness, privacy, and fairness. Professional Field: Computer Science.