Summary
Will Grathwohl is a machine learning researcher and engineer with a decade of experience building deep learning systems across industry and academia. He holds a PhD from the University of Toronto and has contributed to high-impact AI teams at DeepMind, Anthropic, OpenAI, and Google, blending research rigor with production-minded engineering. His work spans self-supervised vision, variational video representations, RL for healthcare, and core SLAM and perception systems—skills he applied earlier as a founder building a 6M-image moderation platform. Known for teaching and mentoring (including delivering a deep learning course at a national lab), he moves comfortably between publishing research and shipping robust models in production. Based in New York, he combines curiosity about unusual corners of ML (and a fondness for raccoons) with a pragmatic focus on scalable, real-world solutions.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.) Course 18-C: Mathematics with Computer Science, Bachelor of Science (B.S.) Course 18-C: Mathematics with Computer Science at Massachusetts Institute of Technology
Fairfield Warde
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Toronto