Srinadh Bhojanapalli obtained his M.S. and Ph.D. in Electrical and Computer Engineering from The University of Texas at Austin in 2012 and 2015 respectively. Prior to that he obtained Bachelors in Technology from Indian Institute of Technology Bombay in 2010. He has spent some summers as intern at Microsoft research India and ebay research labs. He is currently a research assistant professor at Toyota Technological Institute at Chicago.
His research is primarily focused on designing algorithms for large scale machine learning problems with statistical guarantees. He is interested in Matrix and Tensor factorization, Optimization and Sublinear time algorithms. Recently he has been working on designing scalable algorithms for Semidefinite Optimization with provable convergence guarantees.
Dr. Bhojanapalli also has a personally maintained website which can be found at http://www.ttic.edu/bhojanapalli