Kirk Ehmsen
Masters Student at Master of Molecular Science and Software Engineering (MSSE), UC Berkeley
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolKirk Ehmsen is a computational scientist and molecular biologist with over a decade of industry and academic experience and more than 20 years in research. He brings deep expertise in strain engineering, assay development, and automation—building Python pipelines and robotics-integrated workflows that improved scale and data accuracy at Novozymes and Cortexyme. His PhD and postdoctoral work at UC Davis and UCSF combined CRISPR, next-generation sequencing, and high-throughput screening to dissect transcriptional regulation and identify novel small-molecule inhibitors, while mentoring trainees across levels. Now pursuing an interdisciplinary MSSE at UC Berkeley, he blends wet-lab rigor with software engineering practices to translate complex biological questions into reproducible, automated experiments. Notably, he has a track record of turning molecular insights into practical lab automation and analytic tools that accelerate discovery in both academic and commercial settings.
10 years of coding experience
14 years of employment as a software developer
Bachelor’s Degree, Biological Sciences, Bachelor’s Degree, Biological Sciences at University of California, Davis
Github Skills (10)
bioinformatics6
genomics4
bam4
python4
api3
htslib2
sam2
samtools1
tabix1
bcftools1
Programming languages (2)
Github contributions (5)
YamamotoLabUCSF/SampleSheet
Aug 2019 - Jun 2021
Contributions:34 commits, 16 pushes in 1 year 11 months
YamamotoLabUCSF/CollatedMotifs
Aug 2019 - Aug 2021
Define alleles for deeply sequenced genetic loci (PCR amplicons), and summarize loss or gain of transcription factor binding sites (TFBS) relative to reference DNA sequence(s)
Contributions:46 pushes in 2 years
sequencebinding-sitesrelativednabioinformatics
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