Elsie Cortes

PHD Candidate

California, United States
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Summary

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Senior
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Top School
Elsie Cortes is a PhD candidate in computer science with nine years of experience specializing in physics-based modeling and physics-informed neural networks, particularly for wave propagation and optical cloaking. She combines applied mathematics rigor with practical computational engineering to build optimized, high-accuracy models and bespoke neural architectures. Known for improving algorithmic efficiency and expanding projects into novel directions, she enjoys designing tools that clarify and extend scientific inquiry. Based in California, she thrives in collaborative, open-research environments and is eager to join a university or research group tackling interdisciplinary problems at the intersection of simulation and deep learning.
code9 years of coding experience
bookBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of California, Merced
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Github Skills (4)

integral6
clover4
ssa2
slice2

Programming languages (2)

Jupyter NotebookGLSL

Github contributions (5)

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Contributions:47 pushes, 2 comments, 3 issues in 3 years 7 months
toxemicsquire4/csci41_calc

May 2017 - May 2017

Contributions:29 commits, 27 pushes, 1 branch in 5 days
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Elsie Cortes - PHD Candidate