Yeshwanth Cherapanamjeri


Yeshwanth Cherapanamjeri
Ph.D Candidate
Computer Science
UC Berkeley

I am a fifth year Ph.D candidate in Computer Science at UC Berkeley advised by Peter Bartlett. I'm broadly interested in algorithmic and statistical issues arising in machine learning. Before this, I'd spent two wonderful years as a research fellow in the Machine Learning & Optimization group at Microsoft Research, India, where I was fortunate to work with Prateek Jain, Praneeth Netrapalli and Nagarajan Natarajan on designing provable algorithms for non-convex optimization. Previously, I received a B. Tech in Computer Science from IIT Bombay where I worked on Entity Linking and Disambiguation with Prof. Ganesh Ramakrishnan and Prof. Soumen Chakrabarti for my undergraduate thesis.

You can find a link to my resume here.