Peihao Wang

Peihao Wang is a final-year PhD student in the Department of Electrical and Computer Engineering at The University of Texas at Austin, advised by Prof. Atlas Wang. He received his bachelor’s degree from ShanghaiTech University in 2021. His research interests lie at the intersection of geometric learning, machine reasoning, and computer vision. His work advances the theoretical foundations of geometric deep learning. It investigates the geometric, symbolic, and topological structures of data, logic, and physics to enhance language model reasoning, uncover new scaling paradigms, and ground generative vision models in physics. His contributions have been recognized with the DARPA Disruptive Idea Paper Award and the SIGGRAPH Asia 2024 Best Paper Award. He is also a recipient of the UT Graduate Recognition Fellowship and the Texas ECE Graduate Achievement Award.