Ryan Shi
About
Before joining SCI, Ryan Shi was a Ph.D. candidate of Societal Computing in the School of Computer Science at Carnegie Mellon University. He works with nonprofit organizations to address societal challenges in food security, environmental conservation, and public health using AI. His research has been deployed at these organizations worldwide. Shi studies game theory, online learning, and reinforcement learning on problems motivated by these applications. He was the recipient of a 2023 IAAI Deployed Application Award, a 2022 Siebel Scholar Award, and a 2022 Carnegie Mellon Presidential Fellowship, and was selected as a 2022 Rising Star in Data Science and ML & AI, by UChicago and USC, respectively. He has interned at Microsoft and Facebook during his Ph.D. Shi grew up in Henan, China before moving to the U.S., where he graduated from Swarthmore College with a B.A. in mathematics and computer science.
Research Performance Summary
First Recorded Paper
Strategic reporting in exponential family prediction markets
Year: 2016
Citations: 0
Venue: MIT Undergraduate Research Technology Conference (URTC), 2016 IEEE
Latest Recorded Paper
Scalable, sustainable, generalizable, and responsible AI for public sector
Year: 2025
Citations: 0
Venue: Proceedings of the AAAI Conference on Artificial Intelligence 39 (27), 28728
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.