Riley Doyle is a data scientist and seasoned data engineer with 11 years of experience building high-performance, production-ready systems across biotech, security, and mobile sync domains. A founder who led Desktop Genetics from inception to acquisition, he blends deep life-sciences expertise with hands-on systems engineering—shipping Python/C bioinformatics early in his career and Rust-based embedded sync solutions more recently. Riley has designed adaptive, semi-supervised ML pipelines for attacker classification, created vector-space models of attacker personas, and architected “cloud-optional” mobile databases that run offline at scale. Based in Denver, he pairs entrepreneurial product instincts with low-level engineering skill (self-described Rustacean), making him comfortable from lab workflows and IND-supporting genomics analysis to latency-sensitive embedded systems. An unusual through-line in his work is translating scientific rigor into reliable, auditable production data pipelines across very different industries.
11 years of coding experience
18 years of employment as a software developer
MPhil, Bioscience Enterprise, MPhil, Bioscience Enterprise at University of Cambridge
Bachelor's of Engineering, Biochemical Engineering, Bachelor's of Engineering, Biochemical Engineering at Dartmouth College
BA, Chemistry: Biochemistry, Mathematics, BA, Chemistry: Biochemistry, Mathematics at Colby College
Contributions:17 pushes, 2 branches in 4 years 9 months
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.