Summary
Francis Chmiel is a Senior Applied Machine Learning Scientist based in London with eight years’ experience applying ML in regulated digital health and enterprise settings. He has led end-to-end data science functions and built production ML services—risk prediction models, disease progression metrics, and LLM-powered summarization—while steering regulatory and analytics engineering efforts. A Python developer with 10+ years’ coding experience, he blends software engineering best practices (CI/CD, testing, dbt, Metabase) with hands-on model deployment in AWS and healthcare data ecosystems (EHRs, claims, smartphone data). His background includes founding the data science capability at Kneu Health, influencing national COVID-19 monitoring policy from research at Southampton, and winning repeat six-figure bids through technical leadership at BMT. He holds a DPhil from Oxford, translating rigorous experimental science into robust, auditable ML products for clinical and commercial use.
8 years of coding experience
7 years of employment as a software developer
DPhil Condensed Matter Physics, DPhil Condensed Matter Physics at University of Oxford
GCSEs, GCSEs at Matravers School
Master's Degree Physics, Master's Degree Physics at Durham University
A Levels, A Levels at St Augustines Catholic College