Parthe Pandit

Biography:

Parthe is a Ph.D. Candidate at the University of California, Los Angeles (UCLA) in the Department of Electrical Computer Engineering. He is also working towards a Master's degree in Statistics at UCLA. His research focusses on providing rigorous theoretical guarantees for computational and statistical aspects of Machine Learning algorithms. He applies tools from large-scale optimization, statistical physics, and high dimensional statistics. 

He completed his B.Tech and M.Tech in Electrical Engineering from IIT Bombay, with a minor in Computer Science. Apart from Machine Learning, he has also published articles on problems in mechanism design, network economics, coding theory, graph theory, and music information retrieval. He is a recipient of the Jack K. Wolf best student paper award, the Guru Krupa Foundation fellowship, the J. N. Tata scholarship, and the K. C. Mahindra scholarship.