Summary
Richard Zhang is a Senior Research Scientist based in the San Francisco Bay Area who has driven generative image modeling since 2016 and earned a PhD from UC Berkeley. Recognized on MIT Technology Review’s Innovators Under 35, he has authored influential papers (LPIPS, Colorization, GigaGAN, Detecting GenAI) with roughly 20k citations across top venues and translated research into product features like Adobe Photoshop Neural Filters and consultation for Firefly. At Adobe he focuses on perceptual quality, controllability, speed, and forensics in GenAI, mentors graduate researchers, and has chaired CVPR multiple times. He also holds a substantial patent portfolio (10 issued, 20+ filed) and maintains a playful online persona (“I’m a non-Newtonian tree”) that hints at a creative, unconventional approach to hard computer vision problems.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Electrical Engineering and Computer Sciences, Doctor of Philosophy - PhD Electrical Engineering and Computer Sciences at University of California, Berkeley
Master of Engineering - MEng Electrical & Computer Engineering, Master of Engineering - MEng Electrical & Computer Engineering at Cornell University
High School Diploma, High School Diploma at Illinois Mathematics and Science Academy
Chinese