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I am a Research Scientist at Facebook AI Research. I am also wrapping up a PhD in Computer Science at Carnegie Mellon University advised by Professor Tuomas Sandholm. My research combines computational game theory and machine learning to produce artificial intelligence 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 CMU advisor, I created Libratus and Pluribus, which decisively defeated top human poker professionals in Human vs. Machine competitions. I also received a NeurIPS 2017 Best Paper award, the 2017 Allen Newell Award for Research Excellence, the 2019 Marvin Minsky Medal for Outstanding Achievements in AI, and was named one of MIT Tech Review's 35 Innovators Under 35.

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.

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