Irina Tezaur is a Distinguished Member of Technical Staff at Sandia National Laboratories with 14 years of experience applying advanced computational and mathematical engineering to national-scale modeling problems. She holds a PhD from Stanford and has repeatedly led development of high-performance C++/Trilinos codes and reduced-order modeling techniques for CFD, sea-level-rise prediction, and extreme-scale data science. Across progressive technical leadership roles at Sandia she has combined rigorous numerical analysis with production-grade software engineering to integrate research codes into community models like CESM. Her background in both mathematics and actuarial training gives her a rare blend of theoretical rigor and practical risk-awareness when delivering robust simulation tools. Colleagues rely on her for turning complex PDE and model-reduction research into parallel, maintainable code used for mission-critical forecasting.
14 years of coding experience
15 years of employment as a software developer
Master of Arts (M.A.), Mathematics, 4.00/4.00 GPA, Master of Arts (M.A.), Mathematics, 4.00/4.00 GPA at University of Pennsylvania
Cranbrook Kingswood
Doctor of Philosophy (Ph.D.), Computational and Mathematical Engineering, 4.08/4.00 GPA, Doctor of Philosophy (Ph.D.), Computational and Mathematical Engineering, 4.08/4.00 GPA at Stanford University
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