International Conference on Machine Learning · 2024
Cited
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Resume (English only)
Academic Achievements
Published multiple papers in top conferences such as NeurIPS, ICML, UAI, and journals like IEEE Transactions on Parallel and Distributed Systems. Involved in various research projects including federated learning, optimization algorithms, etc.
Research Experience
Research Scientist at Google Research.
Education
PhD in Computer Science from UT Austin, advised by Prof. Sujay Sanghavi and Prof. Inderjit S. Dhillon. B.Tech. and M.Tech. degrees in Electrical Engineering from IIT Bombay, worked with Prof. Subhasis Chaudhuri and received the Undergraduate Research Award.
Background
Interested in developing provably better optimization algorithms and generalization-improving techniques for machine learning, especially under data-centric constraints such as restricted data access, poor data quality, computational limits imposed by large-scale data, and beyond. Likes to develop theoretically grounded ML algorithms.
Miscellany
Finished 2nd in the public leaderboard and 3rd in the private leaderboard (Team name: Invincibles) in the iFood Challenge, FGVC Workshop, CVPR 2018. Invited to present the method at CVPR 2018.