معرفی
Michael Albert is an Assistant Professor of Business Administration at the University of Virginia's Darden School of Business, with joint appointments in Systems Engineering and Computer Science at UVA's School of Engineering and Applied Sciences (SEAS). He holds a B.S. from James Madison University and an M.S. and Ph.D. from Duke University. His research focuses on combining machine learning and algorithmic techniques to automate market design, with applications in blockchain systems, smart grids, and autonomous transportation. Prior roles include visiting assistant professorships at Ohio State University and postdoctoral research positions at the University of Texas at Austin and Duke University.
Education: B.S. in [field unspecified] from James Madison University; M.S. and Ph.D. in Financial Economics from Duke University’s Fuqua School of Business.
Research Interests: Algorithmic market design, strategic interactions in multi-agent systems, and applications in smart grids, traffic optimization, and blockchain. His work bridges machine learning, operations research, and economics to address challenges in automated decision-making and incentive-compatible mechanisms.
Key Collaborations: Contributions to Texas Department of Transportation reports on autonomous vehicles and smart transport infrastructure, and collaborations with institutions like UT Austin’s Learning Agents Research Group and Duke’s AI group.
Grants & Advising: No explicit grants listed, but active in multi-institutional research projects. Advising focus on PhD/Master’s students in data-driven mechanism design areas.
Labs/Teams: Involved with interdisciplinary teams at Darden and SEAS, focusing on algorithmic economics and autonomous systems research.
