Cowles Lunch Talk: Gabriele Farina, MIT
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, the AAAI/ACM SIGAI 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.
