Summary
Nathan Mahynski is a Principal AI Scientist with nine years of experience building AI/ML and molecular simulation tools that translate complex science into operational solutions for intelligence, space, and defense partners. He moved from a research career at NIST—where he led a chemical informatics group and developed simulation code and ML pipelines for materials authentication, colloidal self-assembly, and fluid property prediction—to applied AI work at Altamira. Holding a PhD in Chemical Engineering from Princeton with NSF support and a certificate in Computational and Information Science, he blends deep computational thermodynamics expertise with practical software engineering. Nathan routinely partners with domain experts to accelerate discovery and decision-making through data-driven analytics and bespoke modeling toolchains. Notably, his background spans both fundamental soft-matter research and production-grade AI systems, enabling him to bridge theory, code, and mission needs. Based in State College, PA, he brings interdisciplinary rigor and an aptitude for turning nuanced scientific problems into deployable technical solutions.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Chemical Engineering, 2010, Bachelor of Science (B.S.), Chemical Engineering, 2010 at Purdue University
Doctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at Princeton University