Rob Horton is a Lead Data Scientist and entrepreneur with 15 years of quantitative and product-facing experience, currently shaping data strategy at PureGym while also founding PREVU Content to apply ML to content moderation. He moved from Monte Carlo research in solid-state physics (PhD, Imperial College) into quant analytics and then product-led data science, bringing rigorous probabilistic thinking to pricing and portfolio optimisation problems. As Chief Data and Product Officer at BlackCurve he scaled data-driven pricing products and teams, and he contributes pragmatic backend fixes to popular open-source projects like the Real Python Flask starter, improving maintainability and modernising dependencies. Based in Manchester, Rob combines deep academic rigour with hands-on engineering and startup instincts, making him adept at turning complex models into production-ready, business-impacting systems.
15 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy, Theoretical and Mathematical Physics, Doctor of Philosophy, Theoretical and Mathematical Physics at Imperial College London
MSci, Physics and Philosophy, MSci, Physics and Philosophy at University of Bristol
Contributions:59 commits, 16 PRs, 10 comments in 3 years 10 months
Contributions summary:Rob primarily focused on refactoring and modernizing the Flask application's code. They removed deprecated code, updated dependencies (like migrating from `flask.ext`), and cleaned up template files, improving the project's maintainability and reducing potential future issues. Several commits also addressed HTML error codes, and a secret key setting. These changes contribute to a more robust and up-to-date starter project.
Contributions:21 PRs, 30 pushes, 15 branches in 2 years 10 months
erpresource-planningomsmrpplanning
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