CV
Education
Doctor of Phylosophy, Physics
Brigham Young University, Provo, Utah, USA
August 2025
- Advisor: Mark K. Transtrum
- Dissertation: “Information-based uncertainty quantification and experimental design for sloppy models: foundation, theory, and application for interatomic potentials and beyond”
Master of Science, Physics
Brigham Young University, Provo, Utah, USA
December 2021
- Advisor: Mark K. Transtrum
- Thesis: “Bayesian, Frequentist, and Information Geometry approaches to parametric uncertainty quantification of classical empirical interatomic potentials”
Bachelor of Science, Mathematics
Brigham Young University–Hawaii, Laie, Hawaii, USA
December 2017
Professional Experience
Postdoctoral Fellow
Department of Materials Science and Engineering
University of Toronto, Toronto, Ontario, Canada
October 2025 – Present
Graduate Research Assistant
Department of Physics and Astronomy
Brigham Young University, Provo, Utah, USA
September 2018 – August 2025
Graduate Teaching Assistant
Department of Physics and Astronomy
Brigham Young University, Provo, Utah, USA
September 2018 – December 2023
Undergraduate Teaching Assistant
Faculty of Science
Brigham Young University–Hawaii, Laie, Hawaii, USA
August 2016 – June 2017
Computational Experience
Languages: Python, Mathematica, Julia, MATLAB, R
Materials science: KLIFF, KIM-API, ASE, LAMMPS, Quantum Espresso, VASP
Machine learning: Pytorch, Tensorflow, Scikit-Learn, CVXPY, Emcee
Others: Git, TeX, OpenMP, MPI,
Operating systems: Windows, Linux
Teaching Experience
Classes TA’d
- Brigham Young University
- PHSCS 580: Theory of Predictive Modeling
Fall 2018, Fall 2021, Fall 2023 - PHSCS 641: Mathematical Theory of Electricity and Magnetism
Fall 2022
- PHSCS 580: Theory of Predictive Modeling
- Brigham Young University–Hawaii
- PHYS 110: Conceptual Physics
Winter 2016/2017 - PHYS 121: Introduction to Newtonian Mechanics
Fall 2016, Spring 2017 - PHYS 121L: Introduction to Newtonian Mechanics Lab
Fall 2016, Spring 2017 - PHYS 220: Introduction to Electricity and Magnetism
Fall 2016, Spring 2017 - PHYS 220L: Introduction to Electricity and Magnetism Lab
Fall 2016, Spring 2017 - PHYS 221: Introduction to Waves, Optics, and Modern Physics
Winter 2016/2017 - PHYS 221L: Introduction to Waves, Optics, and Modern Physics Lab
Winter 2016/2017
- PHYS 110: Conceptual Physics
Professional development
Conference Organization
- Organizer at SIAM Conference on Uncertainty Quantification, Trieste, Italy
Session Title: Uncertainty Quantification for Active Learning in Atomistic Modeling
February 2024 - Organizer at SIAM Conference on Mathematical Aspects of Materials Science, Pittsburch, Pennsylvania, USA
Session Title: Using Uncertainty Quantification to Improve Learning in Atomistic Modeling
May 2024