Jason Mulderrig is an NRC RAP Postdoctoral Associate at the Air Force Research Laboratory with a decade of experience combining computational solid mechanics and machine learning to probe the microstructural complexity of irregular network materials, particularly cross-linked polymers. He earned a PhD from Cornell studying micromechanical damage constitutive models for elastic polymer networks and now develops graph-generative ML approaches to link microstructure to material behavior. His background spans academic and applied research—from first-principles continuum-mechanics modeling of 2D materials at Princeton to evaluating ablative TPS simulation tools in industry—bringing both theory and practical simulation experience. Known for bridging robust computational methods with experimental insight, he focuses on failure phenomena like cavitation and tearing while translating models toward aerospace-relevant materials problems.
10 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Middletown High School
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Cornell University
Bachelor of Science and Engineering- BSE, Mechanical Engineering, Bachelor of Science and Engineering- BSE, Mechanical Engineering at Princeton University
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