Christopher Curtis
Professor at San Diego State University
San Diego, California, United States
Summary
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Senior🎓
Top SchoolChristopher Curtis is a Professor of Mathematics at San Diego State University with over a decade of experience bridging nonlinear dynamics, fluid mechanics, and data-driven modeling. His research evolved from nonlinear optics and water wave modeling (2009–2019) to pioneering equation-free approaches and machine learning methods for predicting chaotic time series. An applied mathematician trained at the University of Washington, he has modernized curriculum through new courses in numerical methods with Python and a mathematics of data science class, and he designed an industry-focused, portfolio-driven MS in Applied Math. Known for translating deep theoretical work into practical tools for industry and students alike, he combines rigorous analysis with hands-on computational practice and an emphasis on preparing graduates for competitive roles.
11 years of coding experience
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at University of WashingtonBachelor’s Degree Applied Mathematics/Physics, Bachelor’s Degree Applied Mathematics/Physics at Illinois Institute of TechnologyOSSM
Github Skills (9)
hyperbolic4
partial3
julia2
differential-equations2
pde-solver2
dynamical-systems2
automatic-differentiation1
partial-differential-equations1
pde1
Programming languages (2)
Github contributions (5)
cwcurtis/Nonlinear-Waves-over-Vortices
Aug 2016 - Mar 2024
Contributions:52 pushes, 1 branch in 7 years 8 months
cwcurtis/Math-340-Notebooks
Aug 2022 - Feb 2023
Contributions:58 commits, 450 pushes, 1 branch in 5 months
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