Daniel Seaton
Scientific Director, Computational Biology
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDaniel Seaton is a Scientific Director in Computational Biology at GSK with a decade of experience turning human genetic data into actionable drug target discoveries. He leads a team in Human Genetics and Genomics, industrialising statistical genetics and functional genomics methods to drive target identification and de-risking at scale. His background spans academic postdoctoral roles at EMBL-EBI and the University of Edinburgh and a PhD in Systems Biology from Imperial College, giving him deep expertise in quantitative models and experimental integration. Known for bridging research and production, he combines rigorous scholarly output (see his Google Scholar) with practical implementation in an industry setting based in Cambridge. An engineer by training (MEng Chemical Engineering, UCL), he brings a systems-level perspective to complex biological and computational problems.
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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