Summary
Graham Pash is a computational scientist and PhD candidate at the Oden Institute with a strong foundation in applied mathematics and mechanical engineering. He blends theoretical modeling—fractional calculus for smart materials—with hands-on experimental work in fluid-structure interactions and energy harvesting from his time in iSSRL. Graham has practical experience translating high-fidelity simulations into efficient reduced-order models and scientific machine learning closures from internships at Sandia, Oak Ridge, and a DOE practicum. His work emphasizes uncertainty quantification and Bayesian inference, enabling robust predictions for complex multiphysics systems. Based in Austin, he pairs academic rigor with applied R&D across national labs and brings a knack for connecting numerical analysis to real-world testing. Outside research he channels analytical thinking into sports analytics, having co-led NC State’s Sports Analytics Club.
10 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at North Carolina School of Science and Mathematics
Bachelor's degree, Mechanical Engineering, Valedictorian (4.00/4.00), Bachelor's degree, Mechanical Engineering, Valedictorian (4.00/4.00) at North Carolina State University
Doctor of Philosophy - PhD, Computational Science, Engineering, & Mathematics, Doctor of Philosophy - PhD, Computational Science, Engineering, & Mathematics at Oden Institute for Computational Engineering and Sciences