Sarah Wooders


I work at Glisten AI, where we're building AI to categorize and tag product data. Previously I did software engineering at MemSQL, MobLab, and Bloomberg. I graduated from MIT with a degree in computer science and math. There, I did computer systems research at CSAIL in the Supertech Group, directed Code for Good, and helped organize HackMIT.

I live in San Francisco, but am originally from Tucson, Arizona. My family is from Hiroshima, Japan and Alberta, Canada.

Press / blogs

[Techcrunch] Glisten uses computer vision to break products into their most important parts
[MIT News] Taking the lead in shaping the future of computing and artificial intelligence
[MemSQL] Faster Data Loading with Adaptive Compression
[Underscore] Fashion Brought to You by AI


Allparel Text search for fashion images.
Keychain Distributed Authentication on the Ethereum Blockchain.
FashionModel Mapping Images of Clothes to an Embedding Space.


Kaler, Tim, Brian Wheatman, and Sarah Wooders. "High-throughput image alignment for connectomics using frugal snap judgments: poster." Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming. 2019.