معرفی
Jiachang Liu is an Assistant Research Professor at Cornell University's Center for Data Science for Enterprise and Society (CDSES), hosted by Professors Andrea Lodi and Soroosh Shafiee. He holds a Ph.D. in Electrical and Computer Engineering from Duke University (2024), advised by Cynthia Rudin, and a B.S. in Physics and Mathematics with a Computer Science minor from the University of Michigan, Ann Arbor (2018).
His research focuses on interpretable machine learning solutions for high-stakes domains like healthcare and criminal justice, optimization techniques for discrete/continuous problems, and open-source software for data science. Notable achievements include the 2025 Outstanding Dissertation Award from Duke ECE, 2023 Bell Labs Prize (2nd Place), and multiple INFORMS awards.
Key contributions include OKRidge for sparse ridge regression (NeurIPS 2023), FastSurvival for Cox models (NeurIPS 2024), and FasterRisk for interpretable risk scores (NeurIPS 2022). He co-authored work on the Rashomon Effect's societal impact (ICML 2024) and developed KATE for GPT-3 in-context example selection (ACL Workshop 2022).
