Ivana Escobar is a PhD candidate and Graduate Research Assistant at the Oden Institute with 11 years of experience applying high-performance computing, adjoint modeling, and advanced numerical methods to regional ocean circulation and climate problems. She combines deep computational science training (MS and PhD work at UT Austin and UCSD) with applied research stints at Applied Research Laboratories and Sandia National Laboratories, translating mathematical methods into scalable simulations. Ivana’s work focuses on leveraging adjoint techniques to improve parameter estimation and sensitivity analysis in high-resolution ocean models, bridging theory and large-scale computation. Based in Austin, she pairs a mechanical engineering foundation with interdisciplinary research skills and a demonstrated ability to work in both academic and national-lab environments. An understated strength is her track record of sustained summer collaborations at Applied Research Laboratories, indicating she thrives in iterative, team-based experimental modeling efforts.
11 years of coding experience
7 years of employment as a software developer
University of California San Diego
Claudia Taylor "Lady Bird" Johnson High School
Doctor of Philosophy (PhD), Computational Science, Engineering, and Mathematics, 3.75, Doctor of Philosophy (PhD), Computational Science, Engineering, and Mathematics, 3.75 at Oden Institute for Computational Engineering and Sciences
University of Texas at San Antonio
Master of Science - MS, Computational Science, Engineering, and Mathematics, 3.75, Master of Science - MS, Computational Science, Engineering, and Mathematics, 3.75 at The University of Texas at Austin
Contributions:4 PRs, 18 pushes, 8 branches in 3 years 9 months
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