Alexey Golosov is a seasoned professional in the field of computer science, with expertise in artificial intelligence, machine learning, and natural language processing. He received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign, where he focused on developing algorithms for modeling human behavior in the context of economic decision-making. Since then, Alexey has held various research positions, including at the Institute for Advanced Study in Princeton, NJ and Microsoft Research in Redmond, WA. He has published influential research papers in top academic conferences and journals, and his work has been cited thousands of times. Alexey is currently a faculty member at the University of Chicago, where he holds a position in the Department of Computer Science and is affiliated with the Booth School of Business. His research interests include understanding the principles of human behavior, designing algorithms that enable machines to learn from human feedback, and developing intelligent systems that can interact with people more naturally.