CV

This is just highlights, you can find my full CV here (updated 04/02/2023).

Education

• B.S. in Computational Mathematics, Utah State University, 2022
• Ph.D in Applied and Computational Mathematics, California Institute of Technology, 2027 (expected)

Work experience

• Summer 2022: DOE SULI Internship
  • National Renewable Energy Laboratory (NREL)
  • Duties included: Tried to use transformer models to simulate time series data related to battery modeling.
  • Supervisor: Paul Grasper

Skills

• Python
  • Numpy
  • Pandas
  • Scikit learn
  • Tensorflow 2 with Keras API
• Matlab
  • Optimization Toolbox
  • Paralellization Toolbox
  • Image Processing Toolbox
• C/C++
  • MPI
  • OpenMP
  • CUDA
• Git
• Latex

Publications

Numerical Analysis of the 1-D Parabolic Optimal Transport Problem*

Brauer A, Krawick M, and Santana M. (2021). "Numerical Analysis of the 1-D Parabolic Optimal Transport Problem." SIAM SIURO. Vol 14:150-166.

Alternating Minimization for Computed Tomography with Unknown Geometry Parameters*

Huynh M, Santana M. (2022). "Alternating Minimization for Computed Tomography with Unknown Geometry Parameters." SIURO. Vol 15:62-76.

Cordiality of Digraphs*

Beasley L, Santana M, Mousley J, and Brown D. (2022). " Cordiality of Digraphs " Journal of Algebra Combinatorics Discrete Structures and Applications. Vol 10:1.

Awards

• NSF Graduate Research Fellowship Program Fellow - April 2022
• Goldwater Scholar - March 2021
• Undergraduate Researcher of the Year - College of Science, Utah State University - 2021

Service and leadership

• Utah State Science Council – Undergraduate Research VP - August 2021 – May 2022
  • Promoted undergraduate research on campus by organizing two research presentation competitions, and an REU application workshop night.
• College of Science Peer Mentorship Program - Mentor August 2021 – May 2022
  • Met weekly with a freshman student to offer help with knowing what classes to take, developing good study habits, and obtaining a research position.