Summary
Fergal Duffy is a computational biologist and senior scientist in Seattle with 11 years of experience applying machine learning and statistical modeling to clinical and immune-profiling data to inform diagnosis and treatment. He bridges academic rigor and industry start-up pace, leading projects that profile innate and adaptive immune responses and yielding high-impact publications and a patent-pending cancer diagnostic. Comfortable writing production-grade analysis and visualization pipelines, he collaborates effectively with clinicians, field researchers, and cross-functional teams to turn complex datasets into actionable insights. His background in chemical engineering and management complements his technical depth, enabling him to navigate both experimental and translational development pathways. An unexpected strength is his history of moving between bench, code, and product teams—translating lab discoveries into diagnostic prototypes at scale.
11 years of coding experience
13 years of employment as a software developer
PhD, Computational Biology, PhD, Computational Biology at University College Dublin
Diploma in Management, Business Administration and Management, General, 2:1, Diploma in Management, Business Administration and Management, General, 2:1 at University of Limerick