Summary
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Rockstar🎓
Top SchoolJeff Hussmann is a computational biologist with 14 years of experience translating complex sequencing data into actionable insights for gene editing and functional genomics. He has driven computational tool development and experimental design from elite academic labs to industry, notably creating the knock-knock pipeline and co-developing Repair-seq to map DNA repair pathways. At Prime Medicine he built company-wide analysis pipelines for prime editing and integrase-based approaches and led a team applying pooled screens to uncover design principles that improve editing efficiency and fidelity. Trained as a computational and applied mathematician (PhD, UT Austin) with a BSE in Math and ECE from Duke, he combines rigorous quantitative modeling with hands-on experimental collaboration. Based in Cambridge, MA, he is comfortable translating between code, assays, and biological hypotheses, and often uncovers nonobvious repair-centric levers that materially change editing outcomes.
14 years of coding experience
3 years of employment as a software developer
PhD, Computational and Applied Mathematics, PhD, Computational and Applied Mathematics at The University of Texas at Austin
BSE, Mathematics, Electrical & Computer Engineering, BSE, Mathematics, Electrical & Computer Engineering at Duke University