Ryan Carey
Research Manager at MATS Research
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolRyan Carey is a quantitative researcher based in San Francisco with 11 years of cross-disciplinary experience bridging academic statistics, machine learning research, and high-frequency trading. He holds a PhD in Statistics from Oxford and has worked at leading labs including DeepMind, OpenAI, and Millennium before joining Optiver, bringing a rare mix of rigorous probabilistic modeling and production-focused implementation. His background uniquely spans medical training, bioinformatics, and research engineering, enabling him to translate complex theory into robust, real-world strategies for market and ML problems. Known for internships and research roles at top institutions, he combines deep statistical insight with hands-on coding to drive data-driven decisions under uncertainty.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy, Statistics, Doctor of Philosophy, Statistics at University of OxfordMaster of Science, Bioinformatics and Theoretical Systems Biology, Master of Science, Bioinformatics and Theoretical Systems Biology at Imperial College LondonBachelor of Medicine, Bachelor of Surgery, Bachelor of Medicine, Bachelor of Surgery at Monash University
Github Skills (43)
causality10
networkx10
data-science9
python9
graphical-models9
machine-learning9
statistics9
data-analysis8
julia8
science8
deep-learning8
scikit-learn8
tensorflow8
ipython8
jupyter8
Programming languages (7)
Github contributions (5)
RyanCarey/openphil
Feb 2018 - Feb 2022
Contributions:8 commits, 7 pushes, 1 branch in 4 years 1 month
causalincentives/causalincentives.github.io
Jan 2021 - Jul 2023
Contributions:1 review, 1 PR, 24 pushes in 2 years 6 months
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