Jeffrey Barrick
Hannah Professor, Departments Of Microbiology, Genetics, & Immunology And Entomology at The E. coli Long-Term Evolution Experiment
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolJeffrey Barrick is a microbiologist and evolutionary synthetic biology leader with 19 years of experience directing long-term experimental evolution and academic programs at top institutions. Currently the Hannah Professor at Michigan State and Director of the E. coli Long-Term Evolution Experiment, he blends hands-on lab leadership with computational tool development to probe microbial adaptation. Trained at Caltech and Yale (Ph.D. in Molecular Biophysics & Biochemistry), he has held faculty roles at UT Austin and driven cross-disciplinary work spanning microbiology, genetics, immunology, and entomology. Beyond the bench, his GitHub contributions to the Avida digital evolution platform reveal a practical fluency in modifying core simulation logic and analysis modes—reflecting a rare combination of experimental and computational expertise.
20 years of coding experience
California Institute of TechnologyPh.D, Molecular Biophysics & Biochemistry, Ph.D, Molecular Biophysics & Biochemistry at Yale University
Github Skills (10)
aida10
cpu-architecture10
avi10
c-language10
cprogramming-language10
ida10
computer-engineering9
algorithm9
algorithms9
computational-biology8
Programming languages (9)
Github contributions (5)
devosoft/avida
Sep 2006 - Dec 2009
Role in this project:
Back-end Developer
Back-end DeveloperContributions:85 commits in 3 years 3 months
Contributions summary:Jeffrey primarily focused on implementing and modifying instructions within the Avida CPU, particularly the "sense" instruction, and contributed to the analysis and trace modes. The user also made changes to the config options to modify the reproduction rules. These changes involved modifying the CPU's instruction set and improving the software's analysis capabilities, impacting how the system's behavior is analyzed. The contributions suggest improvements to the core logic of Avida.
avida
barricklab/genomediff-python
Dec 2019 - Feb 2025
GenomeDiff (*.gd) file parser for Python
Contributions:1 release, 1 PR, 10 pushes in 5 years 2 months
bioinformaticspythonfile-parserparser
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.