Minyoung Huh is a Member of Technical Staff at OpenAI with a decade of experience bridging academic research and applied machine learning, particularly in computer vision. She completed a PhD in AI & ML at MIT after undergraduate work at UC Berkeley and has research internship experience at Google, Facebook, Adobe, and Snap. Her background includes sustained engagement with top AI labs, translating cutting-edge research into practical systems. Known for tackling "interesting problems," she combines a strong research pedigree with hands-on engineering and is reachable via minhuh@mit.edu for collaboration. An understated detail: she surfaces publicly infrequently, preferring deep work over constant online presence.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Bachelor's degree at University of California, Berkeley
Doctor of Philosophy - PhD AI & ML, Doctor of Philosophy - PhD AI & ML at Massachusetts Institute of Technology
Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency
Contributions:49 commits, 20 pushes, 3 comments in 2 months
pytorchfightingdeep-learninglearnedfake-news
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Minyoung Huh - Member Of Technical Staff at OpenAI