Machine Learning Researcher at BlueCrest Capital Management
London, England, United Kingdom
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Summary
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Rockstar
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Stefanos Eleftheriadis is a machine learning researcher with eight years of experience applying Bayesian methods and Gaussian processes to real-world systems, currently building probabilistic emulators for large-scale supply chain simulators. He holds a PhD from Imperial College London and has worked across industry and research teams at BlueCrest, Amazon, Secondmind and Imperial, bridging academic rigor with production impact. His expertise spans fast approximate inference for GPs, state-space and graph models, heteroskedastic estimation, and optimisation via natural gradients—skills he uses to make complex simulators tractable and uncertainty-aware. Known for turning advanced inference techniques into deployable solutions, he thrives on problems that require both mathematical depth and engineering pragmatism. Based in London, he combines a strong research pedigree with hands-on applied science at the intersection of finance and supply-chain optimisation. An under-the-radar strength is his track record in making GP inference computationally efficient enough for large-scale industrial use.
8 years of coding experience
11 years of employment as a software developer
PhD Computing, PhD Computing at Imperial College London
Engineering Diploma (M.Eng.) Electrical and Computer Engineering, Engineering Diploma (M.Eng.) Electrical and Computer Engineering at Aristotle University of Thessaloniki, Greece
Contributions:10 pushes, 1 branch in 3 years 3 months
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Stefanos Eleftheriadis - Machine Learning Researcher at BlueCrest Capital Management