Dillion Fox is a Staff AI/ML Engineer with a PhD in Physics and a decade of experience applying mathematical and algorithmic insights to biological and clinical problems. He has led ML and data-science efforts across GSK and Agenus, spanning infectious disease forecasting, immuno-oncology patient-response modeling, and experimental geometric deep learning for immune systems. Comfortable bridging disciplines, he translates hypotheses from biologists and clinicians into production ML pipelines and live dashboards that inform trials. His background includes technical leadership in quantum and high-performance computing for R&D, reflecting a knack for spotting emergent computational opportunities and building PoCs. Colleagues rely on him for mentorship and for turning rigorous, physics-rooted modeling into actionable solutions in health sciences.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree Physics, Bachelor's degree Physics at Temple University
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at University of Pennsylvania
Contributions:42 pushes, 2 branches in 2 years 4 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.