Jeff Hussmann

Cambridge, Massachusetts, United States
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Summary

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Rockstar
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Top School
Jeff 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.
code14 years of coding experience
job3 years of employment as a software developer
bookPhD, Computational and Applied Mathematics, PhD, Computational and Applied Mathematics at The University of Texas at Austin
bookBSE, Mathematics, Electrical & Computer Engineering, BSE, Mathematics, Electrical & Computer Engineering at Duke University
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Github Skills (39)

notebook10
tabix10
package-management10
jupyter10
bam10
samtools10
conda10
ipython10
htslib10
bioinformatics10
genomics10
bioconda10
bcftools10
python9
cvs9

Programming languages (6)

C++ShellCJavaScriptCythonPython

Github contributions (5)

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jeffhussmann/repair-seq

May 2018 - Jan 2023

processing, analysis, and visualization of data from Repair-seq screens
Contributions:1 release, 289 commits, 49 pushes in 4 years 8 months
jeffhussmann/hits

May 2014 - Jan 2023

Contributions:749 commits, 73 pushes, 1 branch in 8 years 8 months
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Jeff Hussmann