Christina G. Taylor
Assistant Professor, Department of Mechanical and Biomedical Engineering
Boise State University, Boise, ID
Applied Mathematics ● Scientific Computing ● Engineering
cgtaylor@boisestate.edu
Research Interests
My research interests are in the intersection of mathematics, computer science/scientific computing, and engineering. I develop numerical methods and code libraries for enabling and improving the efficiency and robustness of simulating complex phenomena on real-world geometries and data sets.
My primary research focus is in cut mesh methods for Computational Fluid Dynamics (CFD)/hyperbolic and parabolic PDEs. My current focus in this area is using cut meshes to capture moving interfaces/free boundaries for the simulation of flooding and ocean and river-based phenomena. My other research includes data-driven function approximation using radial basis functions and graphs.
Submitted: "Bessel Functions and Analysis of Circular Waveguides"J. Mora-Paz, L. Demkowicz, C.G. Taylor, J. Grosek, S. Henneking.
ArXiv Preprint: https://arxiv.org/abs/2512.04348
"An entropy stable high-order discontinuous Galerkin methods on cut meshes." C.G. Taylor, J. Chan. Journal of Comp. Physics, 2026.
ArXiv Preprint: https://arxiv.org/abs/2412.13002
"An energy stable high-order cut cell discontinous Galerkin method with state redistribution for wave propagation." C.G. Taylor, J. Chan, L.C. Wilcox. Journal of Comp. Physics.
ArXiv Preprint: https://arxiv.org/pdf/2404.06630
"Inducing flow instabilities in aneurysm geometris via the Reynolds-Orr method." A. Contri, C.G. Taylor, J. Tso, I. Gjerde. Simula SpringerBriefs on Computational Physiology: Simula Summer School 2022 - Student Reports (Chapter 6).
"Efficient computation of Jacobian matrices for summation-by-parts schemes." J. Chan, C.G. Taylor. Journal of Comp. Physics, 2021.
ArXiv Preprint: https://arxiv.org/abs/2006.07504
PhD Thesis: "Title: Energy and Entropy Stable High-Order Discontinuous Galerkin Methods on Cut Meshes." Rice University.
Advisor: Dr. Jesse Chan
Link: https://repository.rice.edu/items/7b321053-aa57-4283-9d6d-58180b25396e
Masters Thesis: "Efficient computation of Jacobian matrices for entropy stable summation by parts schemes." Rice University.
Advisor: Dr. Jesse Chan
Link: https://repository.rice.edu/items/303657a9-d791-4159-92f4-9e3ce015e763
Peter O'Donnell Jr. Postdoctoral Fellow (Fall 2024)
University of Texas' Oden Institute for Computational Science and Engineering with Dr. Clint Dawson.
NSF Graduate Research Fellow in Computational Mathematics (2021)
Department of Computational Applied Mathematics and Operations Research, Rice University.
2024: Numerical PDEs and Their Applications
Institut Mittag-Leffler, Djorsholm, Sweden.
2024: Rising Stars in Computational and Data Science
University of Texas' Oden Institute, Sandia, Los Alamos, and Lawrence Livermore National Laboratories.
2023: Instructor of Record, High Performance Computing (CMOR 421/521).
Department of Computational Applied Mathematics and Operations Research, Rice University, Spring 2023.
2022: Simula Summer School in Computational Physiology
Simula Research Laboratores (Oslo, Norway), University of Califronia - San Diego.
2021: Argonne National Lab's Training Program in Extreme Scale Computing.
2021 and 2020: Numerical Algorithms Group Graduate Intern
BP's Center for High Performance Computing, Houston, TX.
2018: University of Florida's Center for Compressible Multiphase Turbulence Summer Intern. Gainesville, FL.
2017 and 2016: Google Engineering Practicuum Intern. Mountain View, CA.