Matt Kerin
Quantitative Researcher
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMatt Kerin is a quantitative researcher with a decade of experience applying advanced statistical methods to finance and genomics, currently building data-driven strategies at Centiva Capital. He earned a DPhil in Genomic Medicine and Statistics from the University of Oxford, where he developed methods to detect gene–environment interactions in large-scale genomic datasets under Jonathan Marchini and Kevin Sharp. Before Centiva he spent five years at Marshall Wace translating rigorous statistical modelling into systematic trading signals, blending academic rigor with production-focused implementation. Comfortable with large data, probabilistic modelling and statistical computing (notably R), he has moved between research and applied teams to deliver reproducible, high-impact analyses. An avid cyclist based in Oxford, he often brings the same endurance and incremental improvement mindset to model development and deployment.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Genomic Medicine and Statistics, Doctor of Philosophy - PhD, Genomic Medicine and Statistics at University of Oxford
English, Spanish
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (28)
transformers10
language-model10
deepspeed10
environmental9
codeblocks7
perl-script7
ggmap6
r6
jupyter-notebook5
latex5
jupyterlab5
perl5
genome5
jupyter4
journal4
Programming languages (4)
Github contributions (5)
mkerin/gsa_ultra
Aug 2017 - Mar 2018
Contributions:43 commits in 7 months
mkerin/LEMMA
Jan 2018 - Sep 2022
LEMMA (Linear Environment Mixed Model Analysis) aims to uncover GxE interactions between SNPs and a linear combination of multiple environmental variables.
Contributions:5 releases, 594 commits, 3 PRs in 4 years 9 months
combinationenvironmentalsnpslinearmodel-analysis
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