Anson Kahng

Anson Kahng is an Assistant Professor in the Department of Computer Science and the Goergen Institute of Data Science at the University of Rochester. He previously held postdoctoral positions at the University of Toronto and earned his PhD in Computer Science from Carnegie Mellon University under Ariel Procaccia. His academic journey includes an undergraduate degree in Computer Science from Harvard College, where he worked with David Parkes on dynamic kidney exchange.

• Education
  • PhD in Computer Science (CMU, 2021)
  • AB in Computer Science (Harvard, 2016)

His research sits at the intersection of computer science and economics, focusing on computational social choice, algorithmic game theory, and democratic theory. He explores how computational methods can enhance fair collective decision-making through paradigms like virtual democracy and liquid democracy while ensuring algorithmic fairness in participatory budgeting systems.

Recent work includes advancements in ranked choice voting, preference intensity modeling, and structural pattern mining in cryo-ET imaging. His publications span venues like IJCAI, AAAI, PNAS, and NeurIPS, where his paper received a spotlight designation.

• Notable Awards
  • NeurIPS 2019 Spotlight (top 2.5% of submissions)

Anson advises students across PhD and undergraduate levels, including Alina Chadwick (2024) and Joe Saber (2023). He teaches courses like Algorithmic Game Theory and Computational Introduction to Statistics, reflecting his interdisciplinary expertise.