Stephen is a computational biologist and AI/ML scientist with a background in large-scale biological data modeling, molecular interaction prediction, and AI-driven design of biomolecules. He specializes in integrating heterogeneous datasets sequence, structural, and experimental to build predictive models that translate biological complexity into actionable insights. His work spans Python-based data infrastructure, statistical modeling, and physics-informed ML approaches bridging bioinformatics and computational chemistry.

Stephen is an U.S. Army officer with over 20 years of experience leading multidisciplinary teams in high-stakes environments. Stephen holds a B.S. in Political Science and a Ph.D. in Biology from Boston College. He also Master’s Degree from the University of Iowa in Free Radical and Radiation biology and form Vanderbilt University in Chemical and Physical Biology.