Gregory Kehne
Pronouns: He/him/his
Assistant professor
Computer Science & Engineering
- Office
McKelvey 1034
Google ScholarEducation
PhD, Harvard University, 2023BA, Williams College, 2016
Research areas
Expertise
I work on online and approximation algorithms and using computer science to study and improve collective decision-making.
Biography
Gregory Kehne joins the Department of Computer Science from the University of Texas at Austin, where he has been a postdoctoral researcher in the Department of Computer Science. He studies online and approximation algorithms, computational social choice, and algorithms for the study and improvement of collective decision-making. Previously, he was a doctoral student at Harvard in the EconCS Group, which pursues research, both theoretical and experimental, on artificial intelligence and algorithms for social and economic impact, and where he was a 2023 Siebel Scholarship recipient. He began his graduate studies at Carnegie Mellon University in the Department of Mathematical Sciences, in the Algorithms, Combinatorics, and Optimization (ACO) program.