Teddy Groves

Co-Principal Investigator

Denmark
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job3 years of employment as a software developer
bookLondon School of Economics and Political Science
bookThe King's School, Canterbury
bookDoctor of Philosophy (PhD), Philosophy, Pass, Doctor of Philosophy (PhD), Philosophy, Pass at University of Kent
languagesEnglish, French
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Stackoverflow

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Github Skills (81)

arviz10
stan10
python9
bayesian-data-analysis9
cookiecutter9
mcmc9
bayesian-statistics9
kinetics9
enzyme9
thermodynamics9
microbiology9
bayesian9
systems-biology8
computational-biology8
modeling8

Programming languages (9)

RCSSC++TeXJavaScriptHTMLJupyter NotebookMATLAB

Github contributions (5)

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biosustain/maudtools

Apr 2022 - Apr 2023

Tools for working with Maud
Contributions:12 reviews, 11 PRs, 26 pushes in 1 year
teddygroves/bicata

Jun 2023 - May 2025

Bayesian ICA for Transcrtiptome Analysis
Contributions:1 review, 3 PRs, 2 pushes in 1 year 11 months
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