Kristy Choi is a machine learning researcher-engineer with 11 years of experience bridging probabilistic ML research and production systems, currently a Member of Technical Staff at OpenAI after a research scientist stint at Meta working on Llama post-training. She completed advanced CS training at Stanford (MS/PhD) following a CS-Statistics undergraduate background from Columbia and spent six years researching controllable generation and robust representation learning in the Ermon Group. Kristy has industry research experience at Google/Magenta with an ICML 2020 publication and early work in single-cell analysis tooling that optimized pipelines on AWS. She combines deep probabilistic modeling expertise with hands-on systems know-how, shipping research-driven models into large-scale environments. Based in Palo Alto, she brings a rare mix of academic rigor and applied ML engineering, with a track record of improving model adaptability and generation control. An understated strength is her history of translating domain research (bioinformatics and creative ML) into reproducible, production-ready software.
11 years of coding experience
9 years of employment as a software developer
Bachelor's Degree Computer Science and Statistics, Bachelor's Degree Computer Science and Statistics at Columbia University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
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