Summary
Ruohan Zhang is an Assistant Professor and former Stanford postdoc with 11 years of experience at the intersection of reinforcement learning, robotics, and computational neuroscience. Trained with a Ph.D. from UT Austin and mentorship under leaders like Dana Ballard and Mary Hayhoe, Ruohan focuses on understanding human intelligence to inspire biologically grounded AI that better integrates with people. Their work bridges theory and embodied systems, developing algorithms informed by human perception and behavior while validating them in robotic settings. Currently based in Palo Alto and transitioning to Northwestern, Ruohan combines deep academic rigor with hands-on research in vision and learning under advisors Fei-Fei Li, Jiajun Wu, and Silvio Savarese. An unexpected thread in their background is a BA in Psychology, which underpins a genuinely interdisciplinary approach to AI that centers human compatibility.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at The University of Texas at Austin
Bachelor of Arts (BA), Psychology, Bachelor of Arts (BA), Psychology at Rhodes College
English, Chinese