Stephen Wandro is a senior bioinformatics engineer with a decade of experience applying large-scale genomics, cloud computing, and machine learning to accelerate infectious disease diagnostics. He holds a PhD in Molecular Biology and Biochemistry from UC Irvine and has moved from academic microbiome research and lentiviral vector work into industry roles at Micronoma and Abbott, where he now leads computational efforts for rapid diagnostic development. Stephen combines hands-on pipeline engineering with statistical and ML-driven interpretation of biological data, routinely shipping scalable analyses for high-throughput sequencing. Based in San Diego, he blends deep wet-lab understanding with production-grade software practices—a pairing that helps translate complex genomic signals into actionable clinical insights.
10 years of coding experience
11 years of employment as a software developer
Bachelor's Degree, Microbiology, Immunology, and Molecular Genetics, magna cum laude, Bachelor's Degree, Microbiology, Immunology, and Molecular Genetics, magna cum laude at University of California, Los Angeles
Doctor of Philosophy (Ph.D.), Molecular Biology and Biochemistry, Doctor of Philosophy (Ph.D.), Molecular Biology and Biochemistry at University of California, Irvine
R shiny app for converting metaphlan2 outputs into simple taxonomy barplots.
Contributions:31 pushes, 1 branch in 1 year 3 months
outputsshiny-appshinyrstatsconverting
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.