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Chenhao Tan is an Associate Professor in the Department of Computer Science at the University of Chicago. He received his PhD degree from Cornell University and holds bachelor's degrees in computer science and economics from Tsinghua University. Prior to joining the University of Chicago, he spent a year as a postdoc at the University of Washington and three years as an assistant professor at the University of Colorado Boulder. His research interests include human-centered machine learning, natural language processing, and computational social science, with a focus on developing AI that interacts effectively with humans. He aims to enable better human-AI interaction by understanding human decision-making and language, analyzing large amounts of textual data to explore how language impacts decisions. His work has been published in leading venues including ACL, WWW, KDD, and ICWSM, and it has been featured in major news outlets such as The New York Times and The Washington Post. Chenhao has received numerous awards including the NSF CAREER Award and the Salesforce Research Award, reflecting his significant contributions to his field.
University of Chicago • Chicago, IL
Teaching and conducting research in computer science focusing on human-centered AI and machine learning.
University of Washington • Seattle, WA
Conducted postdoctoral research in the field of human-centered AI.
University of Colorado Boulder • Boulder, CO
Engaged in teaching and research in computer science.
Department of Philosophy