Bio

I work on developing new machine learning and optimization methods in applications that interface with people, such as retail, transportation and healthcare. My current and prior work experiences include the University of Illinois at Chicago, Xerox Research, Massachusetts Institute of Technology, Citadel Investments, Apple, State Street Global Advisors, and Texas Instruments. Some of my past research includes:

• supervised learning in the presence of operational information
• solving transportation problems such as scheduling and enabling fair ride-shares
• optimizing recommendations assuming realistic user behavior models
• product pricing and learning in economic and competitive settings
• designing online and reinforcement learning methods

Note: Research folks who want to collaborate, send me an email! Students interested in a PhD program, consider UIC!