Daniel Seaton
Scientific Director, Computational Biology
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDaniel Seaton is a scientific leader in computational biology, currently Scientific Director at GSK, where he builds and industrialises computational methods for drug target discovery from human genetic data. Based in Cambridge, England, he oversees a team in Human Genetics and Genomics with a focus on translating statistical genetics and functional genomics into scalable, pharma-ready pipelines. With a PhD in Systems Biology from Imperial College London and an MEng in Chemical Engineering from UCL, his work blends rigorous quantitative biology with cross-disciplinary engineering. His career spans postdoctoral research at EMBL-EBI and Edinburgh, bridging academia and industry over roughly a decade. He maintains an active Google Scholar profile, underscoring a track record of high-impact work in genetics-driven target discovery. An advocate for reproducible science and scalable computational platforms, he leverages wet-lab insight and software leadership to accelerate drug development.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Systems biology, Doctor of Philosophy - PhD, Systems biology at Imperial College LondonUniversity College London
Github Skills (14)
snakemake8
rna-seq6
bioinformatics5
workflow-management5
genomics5
rna-velocity4
genetic3
plink3
seq3
file-format2
python2
reader2
velocity2
multiplexing1
Programming languages (2)
Github contributions (5)
danielseaton/GeneListDB
Mar 2016 - May 2017
Contributions:20 pushes, 2 branches, 1 issue in 1 year 2 months
danielseaton/AtEnrich
Feb 2017 - Sep 2018
Contributions:2 pushes in 1 year 7 months
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