Jessica Au is a bioinformatics scientist and PhD candidate with eight years of experience building production-scale genomics data systems and full-stack data engineering pipelines. She has contributed to Stanford’s ENCODE DCC serving 25,000+ monthly users and now leads large-scale cancer genomics efforts at UC San Diego, aggregating 50,000+ whole genomes and co-authoring benchmarking work across 10,000+ samples. Skilled in Python, cloud infrastructure (AWS/GCP/Docker) and the ML stack, she has deployed interactive dashboards and an LLM-powered literature curation system that cut manual review time by ~80%. Comfortable coordinating multi-institutional analyses across countries, she brings both rigorous computational methods and practical production experience to translational genomics. Notably, she pairs a formal CS MS with PhD-level bioinformatics, enabling her to bridge software engineering and biological insight at scale.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Scientific Computation- Biology Emphasis, Bachelor of Science - BS, Mathematics and Scientific Computation- Biology Emphasis at University of California, Davis
Contains sample scripts from small, unrelated projects and coursework
Contributions:4 PRs, 83 pushes, 4 branches in 10 days
pythonsuitebuild-automation
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Jessica Au - Bioinformatics Scientist (PhD Student Researcher)