Reid Pryzant
Head Of AI Research at Freestone Grove Partners
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolReid Pryzant is an AI research leader and Stanford-trained PhD in Machine Learning and NLP who combines academic rigor with product-facing experience across Google, Apple, Microsoft, and startups. Currently Head of AI Research at Freestone Grove Partners after leading GenAI work as a Senior Research Scientist at Microsoft, he specializes in LLMs, causal inference, and scalable NLP systems. While serving as Head TA and lecturer for Stanford’s flagship CS221 course, he mentored large cohorts and coordinated cross-functional teaching teams, underlining his strength in translating complex research for broad audiences. His background—BA in Computer Science and Biology from Williams and internships spanning Quantcast to Apple—reflects a rare mix of theoretical depth and practical engineering across industry and academia.
11 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Computer Science and Biology, Bachelor’s Degree, Computer Science and Biology at Williams CollegeDoctor of Philosophy (Ph.D.), Computer Science (specialty: AI and NLP), Doctor of Philosophy (Ph.D.), Computer Science (specialty: AI and NLP) at Stanford University
english, japanese, mandarin, spanish
Github Skills (87)
python10
word-segmentation10
style-transfer10
deep-learning10
causality10
audio10
nlp10
causal-inference10
tensorflow10
natural-language-processing10
neural-machine-translation10
machine-learning10
machine-translation9
ml9
tokenizer9
Programming languages (7)
Github contributions (5)
rpryzant/deconfounded-lexicon-induction
Oct 2019 - Sep 2020
Find text features that are most related to an outcome, controlling for confounds.
Contributions:54 commits, 47 pushes, 1 branch in 10 months
rpryzant/nmt
Dec 2016 - Nov 2018
Contributions:146 commits, 139 pushes, 1 branch in 1 year 10 months
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