Designed assignments aligning with curriculum and taught undergraduate algorithms.

• Led a recitation section weekly consisting of about 30 students
• Collaborated to create assignments, exams, and teaching materials

Contributed to highly-performant, high-order and matrix-free solid mechanics code Ratel under the auspices of the Predictive Science Academic Alliance Program (PSAAP).

• Developed GPU-enabled material point method for consolidation simulations of polymer-bonded crystalline materials
• Tuned solvers for AMD and NVIDIA GPU-based supercomputer environments
• Implemented elastic-rigid contact via Nitsche’s method and penalty method

Contributed to Lab-funded open-source projects for the simulation of solid mechanics and contact, with an emphasis on performance.

• Integrated PETSc linear and nonlinear solvers into the Serac solid mechanics code
• Dramatically improved solver performance, with runtime improvements exceeding 40%

Designed assignments aligning with curriculum and taught introductory programming in C++.

• Led two recitation sections weekly consisting of over 70 students
• Facilitated over 30 cumulative hours of interview grading
• Created design documentation and rubrics for final class project, a text-based video game

Researched optimal optimal methods of domain decomposition for eigenvalue problems, particularly spectral Schur complement techniques. Continued research on decentralized optimization in collaboration with LLNL.

• Led development of a moderately-sized software library to facilitate communication between grid devices
• Collaborated with internal and external project contributors and stakeholders
• Augmented existing numerical methods with robustness to communication delays and bad data
• Invented novel asynchronous, distributed linear solver based on Krylov subspace methods

Applied mathematical and computing principles to power system resilience through collaborative autonomy.

• Received Mathematics departmental undergraduate research award
• Presented early results on domain decomposition for eigenvalue problems at 2020 Undergraduate Research Day at the Capitol
• Presented at 2021 SIAM Conference on Computational Science and Engineering over: Using Decentralized Learning to Reduce Communication in Column-Partitioned, Multi-Agent Systems