I am an applied researcher/engineer in the Advertising Sciences group. My research is focused on Recommendation AI and Reinforcement Learning with focus on real-world problems and large scale systems in digital advertising. Applications include recommendation systems, forecasting, programmatic buying and real time bidding. I received Ph.D. degrees in Physics from University of Tennessee, Knoxville and M.S. in Physics from Moscow Institute of Physics and Technology. Previously I worked as a research scientist at Stanford Linear Collider on new QED physics for future warp drive, experiment E144, and particle physics experiments for Superconducting Supercollider Laboratory. In between I've been architecting and developing enterprise data storage and security solutions for a few startups in Silicon Valley.

Research Areas: Advertising Science, Machine Learning, Scalable Systems