Callum Court
Lead Machine Learning Scientist at Monzo Bank
Bristol, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolCallum Court is a Lead Machine Learning Scientist at Monzo with eight years' experience applying ML to high-impact domains, specialising in graph algorithms, NLP, knowledge graphs and representation learning. He has led NLP teams and built production ML at BenchSci, Healx and BAE Systems, translating research into deployed solutions for drug discovery, fincrime detection and intelligence analysis. His PhD from Cambridge fused ML, NLP and data mining for materials prediction, giving him a rare blend of deep research pedigree and practical engineering. Comfortable moving between prototyping and production, he often brings graph-centric approaches to problems where relationships and context matter. Based in Bristol, he combines academic rigor with cross-domain experience in finance, biotech and defence, and has a track record of leading small teams to deliver measurable impact.
8 years of coding experience
3 years of employment as a software developer
MPhys Physics Physics, MPhys Physics Physics at Cardiff University / Prifysgol CaerdyddDoctor of Philosophy - PhD Machine learning / materials science, Doctor of Philosophy - PhD Machine learning / materials science at University of Cambridge
English, Italian, French
Stackoverflow
1reputation
0reached
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Github Skills (27)
relationship9
representation-learning9
prediction8
crystallography8
relationship-extraction8
extraction8
autoencoder8
siggraph8
computational-physics7
cheminformatics6
computational-chemistry6
deep-learning5
crf3
desktop2
windows2
Programming languages (2)
Github contributions (5)
cjcourt/cdesnowball
May 2018 - Feb 2020
ChemDataExtractor toolkit updated to include semi-supervised quaternary relationship extraction
Contributions:1 release, 10 commits, 6 PRs in 1 year 10 months
extractionsupervisedsemirelationship-extractionupdated
cjcourt/magdb
Nov 2017 - Jun 2018
Contributions:1 release, 12 commits, 1 tag in 6 months
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