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 (18)
machine-learning10
reinforcement-learning10
ai10
rust10
convolution9
decimal8
strongly-typed8
statistics8
compile-time8
multi-agent-reinforcement-learning7
probability3
sampling3
scala2
akka2
theory2
Programming languages (2)
Github contributions (5)
tspooner/aegir
Jun 2020 - Jan 2023
Strongly-typed, compile-time autodifferentiation in Rust.
Contributions:120 commits, 8 PRs, 73 pushes in 2 years 7 months
compile-timeruststrongly-typed
tspooner/spaces
Feb 2018 - Oct 2022
Set/space primitives for defining machine learning problems.
Contributions:170 commits, 35 PRs, 84 pushes in 4 years 8 months
machine-learning
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