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I am a machine learning scientist at Thomson Reuters Labs, working on machine learning models embedded as components of search systems, including re-ranking, dense retrieval (a.k.a. vector search) and retrieval-augmented generation with large language models (LLMs).

Previously I was a postdoctoral research associate at Pacific Northwest National Lab, working in Tegan Emerson's Math of Data Science group where my mentor was Henry Kvinge. Before that I completed a PhD in mathematics (algebraic geometry) at the University of Washington, advised by Sándor Kovács.

Charles Godfrey's Projects

ffcv icon ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

m2 icon m2

The primary source code repository for Macaulay2, a system for computing in commutative algebra, algebraic geometry and related fields.

samserve icon samserve

Launch a Segment Anything inference endpoint with 1 Bash command.

serve icon serve

Serve, optimize and scale PyTorch models in production

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