William Newell
Computational Biologist
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolWilliam Newell is a computational biologist and data scientist with 10+ years of cross-sector experience building bioinformatics tools and delivering target identification and validation for industry and academia. Currently a core developer on the Open Targets platform at GSK, he blends large-scale network analysis, ML (including Apache Spark), and web service architectures to make disease-related datasets explorable and actionable. His background spans startup consulting, FP7 research projects and enterprise R&D, where he has led architecture for data integration platforms, REST APIs and interactive visualisations using Play, D3 and GoogleCharts. William combines deep domain expertise in genomics, proteomics and statistical genetics with hands-on software craftsmanship dating back to novel algorithm and patent work in the late 1990s. He has repeatedly translated complex biological questions into production-ready analysis pipelines and customer-facing applications, and has a track record of securing collaborative research funding. Based in London, he pairs academic training in biophysics (PhD) and computer science (MSc) with pragmatic delivery across multinational and small-team environments.
9 years of coding experience
8 years of employment as a software developer
BA (Hons), Natural Science, BA (Hons), Natural Science at University of OxfordPhD, Biophysics (Photosynthesis), PhD, Biophysics (Photosynthesis) at Imperial College LondonMSc, Computer Science, MSc, Computer Science at University of Birmingham
Github Skills (13)
genes10
gwas9
computational-biology9
genomics8
bioinformatics8
datasets7
pipeline-framework3
pipeline3
issue-tracking3
data-science2
data-processing2
data-collection2
anaconda1
Programming languages (2)
Github contributions (5)
Ensembl/postgap
Jan 2018 - Mar 2018
Linking GWAS studies to genes through cis-regulatory datasets
Contributions:14 commits, 1 PR, 70 pushes in 1 month
regulatorygenomicscislinkingbioinformatics
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