Evan Kiefl
Protein Bioinformatician
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolEvan Kiefl is a protein bioinformatician and software engineer with 11 years of experience applying computational methods to structural and genomic problems, currently advancing protein informatics at Arcadia Science in the San Francisco Bay Area. He holds a PhD in Biophysics from the University of Chicago and helped build widely used open-source tools for integrated multi-omics analysis during his doctoral work. Evan bridges hands-on software engineering and biology—designing scientist-facing Python APIs, reproducible DVC/AWS pipelines, and user-centric documentation to make complex analyses accessible to lab teams. His background spans biophysics experiments to cloud-native bioinformatics, and he’s known for turning dense scientific problems into practical, reproducible software. Outside work he’s a billiards addict, a small but telling indicator of his strategic, precision-oriented mindset.
11 years of coding experience
2 years of employment as a software developer
BSc, Physics, BSc, Physics at University of VictoriaPhD, Biophysics, PhD, Biophysics at The University of Chicago
Github Skills (140)
snakemake10
python10
instance-segmentation10
game-development10
object-tracking10
panda3d10
javascript10
alpha-beta-pruning10
yolov810
computer-vision10
object-detection10
science10
sandbox10
gomoku10
semantic-segmentation10
Programming languages (17)
Github contributions (5)
Arcadia-Science/2024-paired-token-masking
Nov 2024 - Feb 2026
Contributions:2 releases, 12 reviews, 19 PRs in 1 year 3 months
ekiefl/ekiefl.github.io
Jul 2020 - May 2026
Contributions:21 PRs, 156 pushes, 21 branches in 5 years 11 months
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