I am a PhD student in Computer Science at Carnegie Mellon University advised by Professor Tuomas Sandholm. My research combines reinforcement learning and game theory to produce AIs capable of strategic reasoning in large imperfect-information multi-agent interactions.

I have applied my research to making the first AI to defeat top humans in no-limit poker. With my advisor, I created Libratus, which decisively defeated four of the world's best human poker professionals in a Man vs. Machine competition. The breakthrough was published in Science, was one of 12 finalists for Science Magazine's Scientific Breakthrough of the Year, and received widespread mainstream news coverage. I also received a NIPS 2017 Best Paper award.

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.

I am generously supported by an Open Philanthropy Project AI Fellowship and a Tencent AI Lab Fellowship.

Contact information: noamb <at> cs <dot> cmu <dot> edu