Summary
Ryan Shi is an Assistant Professor at the University of Pittsburgh who combines rigorous research with real-world impact, focusing on making AI for good technically generalizable and ethically responsible. With a decade of experience spanning academia, industry internships at Microsoft Research and Facebook AI, and data science consulting at DataKind, he specializes in societal computing and responsible ML deployment. He earned a BS in Mathematics and Computer Science from Swarthmore and a PhD in Societal Computing from Carnegie Mellon, after studying as a visiting student at MIT. Based in Pittsburgh, he bridges theory and practice to tackle scalable, governance-conscious AI systems. His work translates research insights into practical, trusted technologies that benefit diverse communities.
10 years of coding experience
1 year of employment as a software developer
Visiting Student, Electrical Engineering and Computer Science, Visiting Student, Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Bachelor's degree, Mathematics, Computer Science, Bachelor's degree, Mathematics, Computer Science at Swarthmore College
Doctor of Philosophy - PhD, Societal Computing, Doctor of Philosophy - PhD, Societal Computing at Carnegie Mellon University
French, Chinese