Alex Kell is a Quantitative Analytics Lead with 10 years’ experience building production optimisation and forecasting systems for grid-scale and behind-the-meter battery storage. He combines a PhD in Computer Science with hands-on engineering—designing Docker-based CI/CD pipelines, Snowflake data workflows and Monte Carlo/imperfect-foresight optimisation models that pushed assets to the P75 performance benchmark across UK BESS sites. Alex has led cross-functional teams from research to deployment, mentoring quants and delivering revenue- and lifetime-optimising strategies informed by digital twins and short-term market forecasts. His background spans academic energy-system modelling for governments to commercial trading platforms, giving him a rare mix of policy-scale understanding and practical market-facing execution. Based in London, he’s a self-described “quant interested in complex systems” who pairs rigorous modelling with pragmatic infrastructure to turn stochastic insight into reliable trading outcomes.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Newcastle University
A levels Madrid Spain, A levels Madrid Spain at King's College, Soto de Viñuelas
Contributions:2 PRs, 110 pushes, 3 branches in 11 months
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