I am a Research Scientist at FAIR (Meta) working on multi-agent artificial intelligence. My research combines reinforcement learning with computational game theory.
I have applied my research to making the first AI to defeat top humans in no-limit poker. With my CMU advisor, I created Libratus and Pluribus, which decisively defeated top human poker professionals in Human vs. Machine competitions. Libratus received the Marvin Minsky Medal for Outstanding Achievements in AI. Pluribus was on the cover of Science Magazine and was a runner-up for Science's Breakthrough of the Year for 2019. I was also named one of MIT Tech Review's 35 Innovators Under 35.
I received a PhD in computer science from Carnegie Mellon. Before CMU, I worked at the Federal Reserve Board in the International Financial Markets section, where I researched algorithmic trading in financial markets. Before that, I developed algorithmic trading strategies.