Tom Whitehead

Head Of Machine Learning at Intellegens

Cambridge, England, United Kingdom
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Summary

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Senior
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Top School
Tom Whitehead is Head of Machine Learning at Intellegens, leading the Science Team to apply ML-driven solutions across materials, chemicals, and manufacturing to accelerate product and process innovation. With a PhD in theoretical physics from the University of Cambridge and nine years' experience, he bridges deep academic theory and practical industrial deployment of novel ML methodologies. He partners closely with R&D teams to translate domain problems into high-impact data strategies and bespoke models that address high-value analysis bottlenecks. Based in Cambridge, UK, Tom is both a strategic leader and hands-on scientist who continues to develop new methods that push ML beyond conventional datasets into complex experimental and materials domains.
code9 years of coding experience
bookMaster’s Degree Physics, Master’s Degree Physics at University of Oxford
bookDoctor of Philosophy (Ph.D.) Theoretical Physics, Doctor of Philosophy (Ph.D.) Theoretical Physics at University of Cambridge
languagesEnglish, German
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Github Skills (28)

asynchronous8
python7
hyperparameter-optimization6
gaussian-processes6
cold-start6
dask5
imputation5
integral5
scipy4
pydata4
bayesian4
collaborative-filtering4
matrix-factorization4
scikit-learn4
pandas4

Programming languages (3)

C++CPython

Github contributions (5)

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tangoed2whiskey/mPIMC

Jun 2017 - Sep 2017

Contributions:4 releases, 23 commits, 12 PRs in 3 months
integralmathematicamonte-carlopath-integralcarlo
tangoed2whiskey/GPy

Feb 2024 - Nov 2025

Gaussian processes framework in python
Contributions:14 pushes, 4 branches in 1 year 9 months
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