I am a research assistant professor at the Toyota Technological Institute at Chicago. My research interests lie in statistical machine learning, particularly in applications to high-stakes decision-making and evaluation problems such as admissions, hiring, grading, and peer review. I draw inspirations from psychology to build human behavioral models, develop algorithms with theoretical guarantees, conduct crowdsourcing experiments, and implement policy changes that make real-world impacts.
Previously, I was a President’s postdoctoral fellow in the School of Industrial and Systems Engineering (ISyE) and the Algorithms and Randomness Center (ARC) at Georgia Institute of Technology, working with Ashwin Pananjady and Juba Ziani.
I received my Ph.D. in the School of Computer Science at Carnegie Mellon University, advised by Nihar Shah. I received my B.S. in Electrical Engineering and Computer Sciences from UC Berkeley.
My CV is available here (updated 02/2024).
Email: jingyanw [at] ttic.edu