Ryan Shi

Ryan Shi has led transformative projects in the field of computer science, particularly focusing on game theory, online learning, and reinforcement learning. As an Assistant Professor at the School of Computing and Information at the University of Pittsburgh, he is dedicated to advancing the understanding and application of these areas. His innovative research has been recognized and implemented globally, showcasing the practical impact of his work. Before joining the University of Pittsburgh, Ryan was a Ph.D. candidate in Societal Computing at Carnegie Mellon University. During his time there, he worked closely with nonprofit organizations to tackle societal challenges through the use of artificial intelligence. This collaboration not only enriched his research but also demonstrated the potential of AI in creating positive societal change. Ryan's academic journey began with a B.A. in mathematics and computer science from Swarthmore College, where he developed a strong foundation in both theoretical and applied aspects of computing. His dedication to excellence in research has earned him several prestigious accolades, including the 2023 IAAI Deployed Application Award and the 2022 Siebel Scholar Award. These honors reflect his commitment to pushing the boundaries of what is possible in the realm of computer science. In addition to his research, Ryan is passionate about teaching and mentoring the next generation of computer scientists. He believes in fostering an environment where students can explore and innovate, preparing them to contribute meaningfully to the field. Through his work, Ryan continues to inspire both his peers and students, driving forward the frontiers of knowledge in computer science.