Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Sanjay Krishnan

Sanjay Krishnan
Assistant Professor, University of Chicago

Website

Sanjay Krishnan is an Assistant Professor of Computer Science at the University of Chicago. His research focuses on applications of machine learning and control theory to computer and cyber-physical systems problems. Sanjay completed his PhD and Masters Degree at UC Berkeley in Computer Science in 2018. Sanjay’s work has received a number of awards including the 2016 SIGMOD Best Demonstration award, 2015 IEEE GHTC Best Paper award, and Sage Scholar award.

Sessions

2:40pm3:20pm Wednesday, April 17, 2019
Machine Learning, Models and Methods
Location: Grand Ballroom West
Secondary topics:  Automation in machine learning and AI, Models and Methods, Reinforcement Learning, Reliability and Safety
Sanjay Krishnan (University of Chicago)
I use my work over the last few years on building and deploying an RL-based relational query optimizer, a core component of almost every database system, as an exemplary application that highlights some of the under-appreciated challenges in Deep RL practice. Read more.