Jeff Hussmann
Cambridge, Massachusetts, United States
Summary
🤩
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 AustinBSE, Mathematics, Electrical & Computer Engineering, BSE, Mathematics, Electrical & Computer Engineering at Duke University
Github Skills (28)
tabix10
package-management10
samtools10
conda10
ipython10
htslib10
pysam10
sequencing10
bioinformatics10
bioconda10
bcftools10
jupyter9
visualization9
notebook9
python9
Programming languages (7)
Github contributions (5)
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
visualization
jeffhussmann/bioconda-recipes
Dec 2021 - Mar 2026
Conda recipes for the bioconda channel.
Contributions:10 pushes, 2 branches in 4 years 3 months
biocondabioinformaticsrecipesconda
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.