Assistant Professor, University of Toronto
Sushant Sachdeva is an assistant professor in the CS department at the University of Toronto. He is interested in algorithms and its connections to optimization, machine learning, and statistics. His recent research focuses on the design of fast algorithms for graph problems.
Before joining University of Toronto, he was a research scientist at Google. He completed his postdoc at Yale with Dan Spielman in 2016, his PhD from Princeton under Sanjeev Arora in 2013, and his BTech from IIT Bombay in 2008. He is the recipient of Google Faculty Research Award (2017), Simons Berkeley Research Fellowship (2013), and the IITB President of India Gold Medal (2008).
Foundations of Deep Learning , Summer 2019Visiting Scientist
Real Analysis in Computer Science , Fall 2013Research Fellow