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Ph.D. - Applied Mathematics

Brown University, Providence, Rhode Island

M.Sc. - Applied Mathematics

Brown University, Providence, Rhode Island

B.A. - Computational and Applied Mathematics; B.S. Mechanical Engineering

Rice University, Houston, Texas

Postdoctoral Research Scholar

Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, CA

• Analyzed time integration methods and physics couplings in Earth system models; high-order finite element methods; physics-informed machine learning for approximating PDEs.

Graduate Research Assistant

Division of Applied Mathematics, Brown University, RI

• Developed and analyzed neural network methods for approximating PDEs.
• Advisor - Mark Ainsworth.

Graduate Research Intern

Pacific Northwest National Laboratory, WA

• Developed machine learning methods for learning particle stresses in suspension Poiseuille flows.
• Mentor - Amanda Howard.

Graduate Research Intern

Lawrence Livermore National Laboratory, CA

• Worked on the lab's RAJA (high-performance computing portability abstraction layer) and mint (mesh generation) libraries; produced application examples (discontinuous Galerkin methods for vacuum Maxwell's equations).
• Mentor - Arturo Vargas.

• National Science Foundation Gradaute Research Fellowship