Thomas Le Menestrel is a quantitative researcher based in London with 8 years of experience at the intersection of machine learning, NLP, and finance-driven research. With an MS in Computational and Mathematical Engineering from Stanford and a first-class BSc from UCL, he has moved between academia and industry—contributing to ML research at Stanford and applied NLP/LLM work at Cisco and Qube Research & Technologies. His recent roles emphasize LLM/NLP research within quantitative trading contexts, blending rigorous probabilistic modeling with production-aware experimentation. Ranked top of his class at UCL and active on GitHub, he combines strong theoretical training with hands-on implementation, often translating research prototypes into practical systems.
8 years of coding experience
2 years of employment as a software developer
University College London
MS in Computational and Mathematical Engineering, MS in Computational and Mathematical Engineering at Stanford University
Contributions:36 commits, 35 pushes, 1 branch in 2 months
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