Evan 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 Victoria
PhD, Biophysics, PhD, Biophysics at The University of Chicago
Contributions:2 PRs, 228 pushes, 2 branches in 5 years 4 months
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