Postdoctoral Researcher -- Center For Applied Scientific Computing at Lawrence Livermore National Laboratory
Tracy, California, United States
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Tucker Hartland is a postdoctoral researcher at Lawrence Livermore National Laboratory with nine years of experience developing scalable computational methods for large-scale inverse problems and PDE-constrained optimization. He specializes in numerical algorithms—semi-smooth Newton and quasi-Newton solvers—and high-performance implementations using libraries like PETSc and MFEM to tackle real-world ice-sheet modeling and bound-constrained optimization. His work bridges theory and application, from deriving analytic closures for turbulence models to practical Bayesian inversion techniques that account for secondary uncertainties. Tucker has a strong academic foundation (PhD in Computational and Applied Mathematics) and a track record of national-lab internships and collaborations that translate advanced numerical analysis into deployable scientific computing tools.
9 years of coding experience
3 years of employment as a software developer
Bachelor's Degree, Theoretical and Mathematical Physics, Bachelor's Degree, Theoretical and Mathematical Physics at California State University-Chico
Doctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at University of California, Merced
Contributions:67 pushes, 1 branch in 1 year 7 months
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Tucker Hartland - Postdoctoral Researcher -- Center For Applied Scientific Computing at Lawrence Livermore National Laboratory