Summary
Lemuel Lee is a Technical Analyst based in London with nine years of experience building formal, auditable solutions across optimisation, forecasting and pricing for energy and data-centre domains. He combines a strong academic foundation in environmental data science and AI/robotics with hands-on roles delivering computational optimisation at Timera Energy, demand forecasting and hedging at Zendo, and a government CfD pricing model. Comfortable across Rust, OCaml and mainstream languages, he has taught core CS topics and built applied systems ranging from combinatorial timetabling to a DSL for typesetting STEM content featured in local press. Lemuel’s work sits at the intersection of formal specification and practical deployment, favouring provable correctness in models that must perform in production. He brings the mindset of a researcher-practitioner who translates mathematical rigor into operational software for energy and educational settings.
9 years of coding experience
1 year of employment as a software developer
Study abroad Computer Science, Study abroad Computer Science at Royal Holloway, University of London
MSc Environmental Data Science and Machine Learning, MSc Environmental Data Science and Machine Learning at Imperial College London
The University of Hong Kong (HKU)
HKDSE Physics ICT Maths, HKDSE Physics ICT Maths at Shatin Pui Ying College
English, Chinese, Chinese, classical chinese