Ryan Carey
Quantitative Researcher
San Francisco, California, 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
2 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 (63)
python10
statistics10
kernel-methods10
jupyter9
directed-acyclic-graph9
data-science9
notebook9
causal-inference9
graphical-models9
machine-learning9
ipython9
causality9
networkx9
decision-making9
statsmodels9
Programming languages (6)
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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