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Research interests include:

Data Driven Mechanism Design, Multi-Agent Systems, Learning with Strategic Agents

Assistant Professor Michael Albert teaches Quantitative Analysis courses in Darden’s MBA program, and he has joint appointments in Systems Engineering and Computer Science in the School of Engineering and Applied Sciences (SEAS) at UVA. His research focuses on combining machine learning and algorithmic techniques to automate the design of markets. His work has appeared in leading artificial intelligence and machine learning venues such as the Association for the Advancement of Artificial Intelligence (AAAI) and the International Joint Conference on Artificial Intelligence (IJCAI).

Prior to joining Darden in 2018, Albert received his PhD in Financial Economics at Duke University’s Fuqua School of Business. He has also worked as a visiting assistant professor of finance at the Ohio State University, as a post-doctoral researcher at the Learning Agents Research Group at the University of Texas at Austin under Peter Stone, and as a post-doctoral researcher in the artificial intelligence group headed by Vincent Conitzer at Duke University.