Tairan He

Tairan He is a Member of Technical Staff at OpenAI, where he works on general-purpose robots and physical AGI. He previously completed his Ph.D. in Robotics at Carnegie Mellon University, advised by Guanya Shi and Changliu Liu, and was a PhD Research Intern at NVIDIA's GEAR Lab. He is best known for his research on scalable learning-based control methods for humanoid robots, including the OmniH2O system for human-to-humanoid whole-body teleoperation and the SONIC foundation model for humanoid motion tracking.