Summary
Jason Chou is an independent researcher and software engineer with a decade of experience building production ML systems and contributing to open-source AI tooling. He holds a PhD in Applied Physics and a Summa Cum Laude B.S.E. in Computer Science, and has shipped applied ML features at Airbnb (fraud prediction, CLIP/OPT-based entity extraction and photo-embedding pipelines) after earlier roles at Google and startups. His recent research outputs include a first-authored ECCV 2024 workshop paper on CLIP geometry and a solo ICLR 2024 blog post on masked language modeling with ALiBi and a CLAP head, bridging academic insight with production practice. Comfortable across Python, TensorFlow, and ML data platforms, he has a track record of turning research ideas into deployable pipelines and contributing to projects like open_clip and torchvision. Colocated in Seattle, he blends rigorous scientific training with hands-on engineering, often surfacing subtle geometric and architectural insights that improve real-world model behavior.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Applied Physics, Doctor of Philosophy (Ph.D.) Applied Physics at University of Michigan - Rackham Graduate School
B.S.E. Summa Cum Laude Computer Science, B.S.E. Summa Cum Laude Computer Science at University of Michigan
Chinese, Japanese, Portuguese, Spanish