Summary
Cameron A is a data scientist and doctoral researcher in London with 8 years of experience building data infrastructure, ML models, and visual analytics for health, economic, and environmental policy. They have driven high-impact projects—powering Our World in Data’s pandemic pipelines used by WHO and governments, and creating NHS-facing dashboards that influenced up to £5M in revenue across 250 practices. Recent work spans coastal flood and storm modelling using geospatial and meteorological data for climate risk decision systems, alongside applied AI work in real-time sports biomechanics. Technically strong in large-scale data engineering, statistical analysis, and reproducible open-source workflows (self-described “Data Janitor” with substantial contributions to public-data tooling). Comfortable bridging research and product: shipping dashboards, automated pipelines, and LLM-driven workflows that turn messy data into policy-ready insights. Trained in economics and health-data ML (Columbia BA, Imperial MSc) and currently completing a PhD focused on climate-related flood modelling.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy, Doctor of Philosophy at University of Southampton
Master of Science - MS, Health Data Analytics and Machine Learning, Master of Science - MS, Health Data Analytics and Machine Learning at Imperial College London
Bachelor of Arts - BA, Economics, Bachelor of Arts - BA, Economics at Columbia University
Royal Grammar School Guildford