Summary
Peter Deford is a Senior Bioinformatics Scientist with 11 years of experience applying computational biology, machine learning, and statistical modeling to gene regulation and clinical genomics. Finishing a PhD in CMDB at Johns Hopkins, he developed shape-based models to predict transcription factor–DNA binding and has translated that research into production-ready pipelines for cancer monitoring at Invitae and Labcorp. He has a strong track record of improving analytical runtime and clinical performance, synthesizing results for biologists, clinicians, engineers, and legal teams. An experienced instructor and mentor, he has taught computational biology at Johns Hopkins and Cold Spring Harbor, turning complex NGS analysis into accessible curricula. Based in Denver, he blends deep academic rigor with practical pipeline engineering to move discoveries into clinical and research impact.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Cell and Molecular Biology, Cum Laude, Bachelor of Science (BS), Cell and Molecular Biology, Cum Laude at Boise State University
Johns Hopkins University