Gregory Kehne

Gregory Kehne is an Assistant Professor in the Department of Computer Science & Engineering at the McKelvey School of Engineering, Washington University in St. Louis. His primary research focuses on online and approximation algorithms, computational social choice, and improving collective decision-making through algorithmic methods.

Education:

• PhD in Computer Science, Harvard University (2023)
• BA in Computer Science, Williams College (2016)

Research Interests: Combines theoretical computer science with applications in social and economic systems. Explores how algorithms can optimize decision-making processes in collaborative environments. Current work emphasizes computational methodologies for collective intelligence and algorithmic fairness in distributed systems.

Awards:

• 2023 Siebel Scholar

Professional Background: Previously a postdoctoral researcher at the University of Texas at Austin (2023–present) and a doctoral researcher in Harvard’s EconCS Group, which bridges AI, algorithms, and societal impact. Earlier studies included the Algorithms, Combinatorics, and Optimization (ACO) program at Carnegie Mellon University.

Labs & Resources: Maintains an active lab website and contributes to the Google Scholar profile linked here. His work frequently intersects with interdisciplinary teams addressing algorithmic challenges in real-world decision-making frameworks.