Summary
Teddy Groves is a quantitative modeller and Co-Principal Investigator at DTU’s Biosustain centre with nine years’ experience translating omics data into mechanistic insights using Bayesian methods and Hamiltonian Monte Carlo. He designs and implements statistical models in Stan, exploiting GPU acceleration and parallelisation to fit kinetic models that were previously infeasible, and supervises a team of PhD students while managing day-to-day group operations. Teddy’s background spans academic philosophy and applied sports analytics, where he built production-ready player-rating and match-prediction systems, giving him a rare combination of rigorous conceptual thinking and pragmatic software engineering. He focuses on enzyme-catalysed reaction modelling and artificial microbe strain design, bringing both methodological depth and production deployment experience to interdisciplinary bioscience projects.
10 years of coding experience
3 years of employment as a software developer
London School of Economics and Political Science
The King's School, Canterbury
Doctor of Philosophy (PhD), Philosophy, Pass, Doctor of Philosophy (PhD), Philosophy, Pass at University of Kent
English, French