Matt Paul is a Bioinformatics Analyst at Rockefeller University with eight years of experience bridging wet-lab genetics and computational genomics. He earned a PhD in Biology from NYU and has led sequencing-driven projects dissecting 3D genome organization and the regulatory separation of gene expression and chromosomal architecture in yeast. His background spans chromatin biology, long non-coding RNA function, and extracellular matrix signaling, giving him a rare blend of experimental insight and bioinformatics expertise. At Rockefeller he applies that domain knowledge to translate high-throughput data into biological hypotheses and reproducible analyses. Based in New York, he maintains an active GitHub presence and a track record of publishing mechanistic discoveries that informed both basic biology and potential therapeutic approaches. Colleagues value his ability to connect computational pipelines to the underlying biology rather than treating data as abstract signals.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Genetics with Reserach experience, 1st, Bachelor's degree, Genetics with Reserach experience, 1st at The University of Manchester
Doctor of Philosophy - PhD, Biology, General, 4.0, Doctor of Philosophy - PhD, Biology, General, 4.0 at New York University
A levels, Biology, Physics, Chemistry and Math, A, A levels, Biology, Physics, Chemistry and Math, A at Worthing College
Contributions:16 PRs, 62 pushes, 1 branch in 4 years 10 months
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