Jessie Lauzon is a computational physicist with nine years of experience applying projection-based and data-driven model order reduction to make aerodynamic simulations faster and more practical for design optimization. Based in the San Francisco Bay Area and currently at Lawrence Livermore National Laboratory, she brings deep aerospace engineering roots from Stanford and UIUC to bridge high-fidelity CFD and machine learning. Her PhD work focused on reduced models for steady aerodynamics, and she has hands-on open-source experience contributing ROM integration and compatibility fixes to the widely used SU2 multiphysics CFD suite. Jessie pairs rigorous numerical methods with pragmatic software development—she’s equally comfortable coding back-end improvements, building data pipelines, or turning complex flow physics into tractable surrogate models.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS) Aerospace Engineering, Bachelor of Science (BS) Aerospace Engineering at University of Illinois Urbana-Champaign
MS Aeronautics and Astronautics, MS Aeronautics and Astronautics at Stanford University
SU2: An Open-Source Suite for Multiphysics Simulation and Design
Role in this project:
Back-end Developer
Contributions:8 reviews, 195 commits, 14 PRs in 4 years
Contributions summary:Jessie primarily contributed to the SU2 CFD software by updating include paths to improve compatibility and resolving bugs. They focused on modifying include paths to ensure the code functions correctly. Furthermore, the user added data capture capability for libROM which indicates work on incorporating model order reduction techniques.
Contributions:3 pushes, 1 branch in 6 years 5 months
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