Sean Ryno is an R&D manager and computational scientist with a decade of experience applying AI/ML and multiscale modeling to understand charge transport and polarization in organic molecular crystals. He combines a PhD in computational and theoretical chemistry with hands-on expertise in QM-informed polarizable force fields, GPU-accelerated MD, and symmetry-adapted perturbation theory to quantify electronic polarization energies and interfacial charge-separation barriers. At Universal Display Corporation he progressed from research scientist to R&D manager, building tools that bridge reaction modeling, high-throughput experimentation, and intelligent agents. His work uniquely blends deep physical chemistry with practical AI-driven materials informatics, enabling more realistic interface geometries and distributions of electronic couplings. Based in Pennsylvania, he is comfortable leading cross-disciplinary teams to translate detailed molecular simulations into actionable materials insights.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational and Theoretical Chemistry, Doctor of Philosophy (Ph.D.), Computational and Theoretical Chemistry at Georgia Institute of Technology
Bachelor of Science (B.S.), Chemistry, Bachelor of Science (B.S.), Chemistry at University of North Georgia
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