Guanya Shi is an Assistant Professor at the Robotics Institute at Carnegie Mellon University, leading the Learning and Control for Agile Robotics (LeCAR) Lab. He completed his Ph.D. in Control and Dynamical Systems in 2022 from Caltech. Before joining CMU, he was a postdoctoral scholar at the University of Washington. He is broadly interested in the intersection of machine learning and control, spanning the entire spectrum from theory and foundation, algorithm design, to real-world agile robotics. Guanya was the recipient of several awards, including the Outstanding Student Paper Award Finalist at RSS 2024 and the Best Paper Award Finalist at ICRA 2025. His research has been featured by major media outlets such as CNN, Reuters, and IEEE Spectrum. Guanya is an Associate Editor of IEEE Robotics and Automation Letters.
