Matthew Suderman - Research Assistant In Epigenetics And Social Science at University of Bristol

Matthew Suderman

Research Assistant In Epigenetics And Social Science at University of Bristol

Canada

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Summary

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Matthew Suderman is a computational epigenetics researcher with 11 years of experience applying bioinformatics and statistical genomics to population health questions. Currently a research assistant at the University of Bristol, he integrates Illumina HM450k epigenome-wide analyses with richly phenotyped longitudinal cohorts (e.g., ALSPAC) to identify DNA methylation signatures linking early-life adversity to later health outcomes. Trained as a computer scientist (PhD, McGill) with prior roles as a bioinformatician and lecturer, he combines rigorous algorithmic thinking with practical wet-lab–scale data analysis. His work uniquely targets easily accessible cell types (T cells, buccal cells) to develop molecular markers for at-risk children and to evaluate intervention effects over time. Matthew also pursues mechanistic follow-up in animal models to translate predictive loci into actionable biology.

11 years of coding experience

8 years of employment as a software developer

Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Simon Fraser University

Bachelor of Science (B.Sc.), Computational and Applied Mathematics, Bachelor of Science (B.Sc.), Computational and Applied Mathematics at Trinity Western University

Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at McGill University

Github Skills (5)

algorithms10

r-package8

genomics3

bioinformatics3

Programming languages (2)

RHTML

Github contributions (5)

perishky/perishky

Aug 2021 - Sep 2022

Contributions:4 commits, 2 pushes, 1 branch in 1 year 1 month

perishky/meffil

Feb 2015 - Jan 2023

Efficient algorithms for analyzing DNA methylation data.

Contributions:3 releases, 315 commits, 1 PR in 8 years

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