Gabriele Farina

I am interested in solid theoretical and algorithmic foundations for learning and computational decision-making under imperfect information. To achieve that, I combine and advance techniques and notions of strategicness from game theory together with modern tools from machine learning, optimization, and statistics.

I am an Assistant Professor at MIT in EECS and LIDS, additionally affiliated with the Operations Research Center (ORC). I hold the X-Window Consortium Career Development Chair. Before that, I spent a year as a Research Scientist at FAIR (Meta AI), where I worked on Cicero, a human-level AI agent combining strategic reasoning and natural language. Before that, I was a Ph.D. student in the Computer Science Department at Carnegie Mellon University, where I worked with Tuomas Sandholm. I was supported by a 2019-2020 Facebook Fellowship in the area of Economics and Computation. My dissertation on learning and equilibrium computation in imperfect-information games received the ACM SIGecom dissertation award, one of the two ACM dissertation award honorable mentions, the CMU SCS dissertation award, and the Runner up Victor Lesser distinguished dissertation award. I am the recipient of an NSF CAREER award, and am an AI2050 Early Career Fellow.