Postdoctoral Researcher at University of Washington
Seattle, Washington, United States
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Summary
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Sebastian Hair is a postdoctoral synthetic biologist and computational engineer with 12 years of experience combining massively parallel assays, single-cell genomics, and deep learning to design cell type–specific regulatory elements and optimize mRNA therapeutics. At the University of Washington he integrated deep learning with high-throughput reporter assays to design enhancers, 3'UTRs, and 5'UTRs—validating designs in human cell lines and extending collaborations into mouse and zebrafish models. He previously developed the first light-inducible protein expression system in Bacillus subtilis and built open-source photobiology hardware and analysis software as a PhD student at Rice. Comfortable at the interface of wet lab and computation, he has contributed to NIH grant preparation and translated models into experimentally validated constructs for gene editing and expression control. Based in Seattle, he brings a rare blend of mechatronics-trained engineering rigor and bioinformatics-forward modeling to tackle practical problems in synthetic biology.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Mechatronics Engineering, Bachelor of Science - BS, Mechatronics Engineering at National University of Engineering
Doctor of Philosophy - PhD, Bioengineering, Doctor of Philosophy - PhD, Bioengineering at Rice University
Contributions:2 releases, 23 commits, 12 pushes in 1 year 6 months
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Sebastian Hair - Postdoctoral Researcher at University of Washington