Summary
Andrew Sundstrom is a computational R&D leader and project manager specializing in physics-informed AI, combining 11+ years of industry experience with a PhD in Computational Biology from NYU Courant. He currently leads projects and engagements at Siemens, translating advanced research into applied AI solutions while previously serving as Chief Science Officer and senior R&D engineer in startups and lab environments. His background spans finance-grade software engineering at Morgan Stanley and research roles at IBM and Courant, giving him rare fluency across production systems, scientific computing, and experimental research. Based in Portland, he pairs rigorous mathematical training with hands-on implementation, shepherding models from theory to deployable tools. Notably, he bridges disciplines—bringing physics constraints into machine learning pipelines—to accelerate trustworthy, physics-aware AI adoption.
11 years of coding experience
17 years of employment as a software developer
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at Cornell University
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at NYU Courant Institute School of Mathematics, Computing, and Data Science
South Eugene High School