Thomas Spooner
Lead Quant Dev at GSR
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolThomas Spooner is a Lead Quant Dev with 11 years of experience applying reinforcement learning, optimisation and Markov process theory to real-world trading and research problems. Currently at GSR after quant roles at Blockchain.com and a research stint at Sutter Hill Ventures, he blends deep academic training (PhD in Computer Science) with hands-on engineering in high-frequency and crypto markets. He favors open-source tooling—identifying as a Rustacean—and builds production-ready systems that reflect rigorous probabilistic thinking. Thomas has a track record of moving research into production across finance and venture-backed R&D, often partnering closely with domain experts to shape strategy and models. Based in London, he combines quantitative depth with pragmatic software craftsmanship, and often surprises peers by translating advanced RL methods into lean, auditable code for live trading.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Liverpool
French, English
Github Skills (39)
random-generation10
prng10
routines10
machine-learning10
distributions10
autoencoder10
reinforcement-learning10
ai10
rust10
probability9
deep-q-network9
sat-solver9
decimal9
q-learning8
intervals8
Programming languages (2)
Github contributions (5)
tspooner/lfa
Feb 2018 - Dec 2021
Native Rust implementations of linear function approximators.
Contributions:3 releases, 233 commits, 29 PRs in 3 years 10 months
implementationsrustlinearrust-native
tspooner/rstat
Apr 2018 - Apr 2020
Probability distributions and statistics in Rust with integrated fitting routines, convolution support and mixtures.
Contributions:114 commits, 11 PRs, 41 pushes in 2 years
distributionsstatisticsintegratedrustconvolution
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