Guandao Yang is an assistant professor in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, where he directs the Spatial Physical Intelligence Lab. Prior to joining UT Austin, he was a Senior Research Scientist at Apple. Before that, he spent two years as a Postdoctoral Scholar at Stanford University, working with Leonidas Guibas and Gordon Wetzstein. He received his Ph.D. in Computer Science in 2023 from Cornell Tech, where he was advised by Serge Belongie and Bharath Hariharan. He obtained his bachelor's degree in Mathematics and Computer Science from Cornell University in 2018.

Guandao's research lies at the intersection of machine learning, computer vision, and computer graphics. He studies how to build data-efficient artificial intelligence systems that can operate in the spatial and physical world, with downstream applications in data-limited domains such as robotics, engineering design, and scientific discovery. His work has received support from various funding sources including Google, NVIDIA, Intel, Samsung, LVMH, Magic Leap, and the Army Research Laboratory.