Mick Watson
Senior Science Fellow at dsm-firmenich Animal Nutrition & Health
City of Edinburgh, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolMick Watson is a senior science leader with 14 years of experience at the intersection of data science, genomics and translational research, now building a world-leading discovery platform for dsm-firmenich Animal Health. He has led large teams and multi-million pound genomics infrastructures at The Roslin Institute and steered enterprise-wide data science, FAIR data and microbiome initiatives across dsm-firmenich. His work spans bioinformatics, functional genomics, animal breeding and microbiome analytics, with a publication record that includes papers in Nature Biotechnology and Nature Methods. Mick combines deep academic credibility—a long-running personal chair in computational biology—with hands-on program delivery in industry, translating omics and AI into product innovation for animal nutrition and health. Based in Edinburgh, he is equally comfortable shaping organizational strategy and getting into the technical weeds of microbiome data infrastructure. An unexpected thread through his career is sustained leadership of platform-scale sequencing and bioinformatics services that convert cutting-edge research into operational capability.
14 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics and genomics , Doctor of Philosophy - PhD Bioinformatics and genomics at The University of EdinburghMSc Biological Computation, MSc Biological Computation at University of York
Github Skills (140)
snakemake10
nmf10
genomes10
microbiome10
genome-assembly10
genomics10
refined10
ncbi10
minhash10
biodiversity10
responsive10
jekyll10
jekyll-theme10
bioinformatics10
file-manipulation9
Programming languages (15)
Github contributions (5)
mw55309/meta4
May 2012 - Jul 2016
Contributions:26 commits, 2 pushes in 4 years 2 months
WatsonLab/sm_assemblies
Feb 2018 - Mar 2020
Contributions:13 commits, 12 pushes, 1 branch in 2 years 1 month
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