Hi! I’m Stephan, a first-year PhD student in the Machine Learning Department at Carnegie Mellon University advised by Ameet Talwalkar. I am supported by the NSF GRFP.

Previously, I did my undergrad at the University of Pennsylvania School of Engineering and Applied Sciences studying Computer Science and Mathematical Economics. I’m broadly interested in topics within machine learning and decision-making. At Penn I was fortunate to work with Aaron Roth on calibration and learning theory, Kevin He on social learning, as well as Yi Xing and Robert Wang at the Xing Lab on computational biology.

In my free time in undergrad I danced, choreographed, and filmed for Pan-Asian Dance Troupe, and I am a long-time wushu student and enthusiast. I also compose and play instrumental music (formerly with Penn Chamber), primarily for the piano.

News

Apr 2024: Awarded the 2024 NSF GRFP Fellowship!
Feb 2024: Honored to receive the 2024 Albert P. Godsho Engineering Award!

Publications

High-Dimensional Prediction for Sequential Decision Making
Manuscript, 2023 (Oral Presentation at NeurIPS 2023 Optimization for Machine Learning Workshop)
Georgy Noarov, Ramya Ramalingam, Aaron Roth, Stephan Xie

ESPRESSO: Robust discovery and quantification of transcript isoforms from error-prone long-read RNA-seq data
Science Advances, 2023
Yuan Gao, Feng Wang, Robert Wang, Eric Kutschera, Yang Xu, Stephan Xie, Yuanyuan Wang, Kathryn E. Kadash-Edmondson, Lan Lin, Yi Xing