Summary
Paul Festor is a Founding ML Engineer with a PhD from Imperial College London and nine years of experience building and validating machine learning products, currently leading end-to-end ML development for a medtech stealth startup in London. He specializes in safe deployment of reinforcement learning and applied ML for healthcare, having taught RL and run a NIHR-Imperial course where clinicians built a sepsis mortality predictor from MIMIC-III. Comfortable coding in Python and Swift, Paul combines research-grade numerical methods (tensor decompositions, optimization) with hands-on product work and scientific communication. He has a track record mentoring students, translating complex AI concepts into clear copy for industry, and accelerating prototypes into validated models for clinical settings. One less obvious strength is his blend of low-level numerical optimisation experience and practical deployment focus, enabling robust, performant solutions across research and product contexts.
9 years of coding experience
Mathématiques appliquées, Mathématiques appliquées at Ecole Nationale Supérieure des Mines de Nancy
Doctor of Philosophy - PhD Intelligence artificielle, Doctor of Philosophy - PhD Intelligence artificielle at Imperial College London
English, German, Italian, French