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Billy Jin

Billy Jin

Assistant Professor
Quantitative Methods

CV

Billy joined Purdue in 2025 after completing a postdoc with Baris Ata at the University of Chicago. He received his Ph.D. in Operations Research and Information Engineering from Cornell University, where he was advised by David Williamson. Prior to that, he received his undergraduate degree from the University of Waterloo, majoring in Computer Science and Combinatorics & Optimization.

Billy's research interests lie in the union of online decision-making, stochastic optimization, and approximation algorithms. His research has been recognized with several awards, including an NSERC graduate fellowship, the 2023 Student Paper Prize awarded by the INFORMS Decision Analysis Society, and runner-up in the 2023 Student Paper Prize awarded by the INFORMS Optimization Society.

Contact

billyjin@purdue.edu
Office: YONG 1027

Quick links

Personal website