Curriculum Vitae
Last updated: January 13th, 2026
Education
PhD Student in Operations Research
Naval Postgraduate School
2024 - Present
Master of Science in Operations Research
Naval Postgraduate School
2021
Graduate Certificate in Operational Data Science and Statistical Machine Learning
Naval Postgraduate School
2021
Master of Systems Analysis
Naval Postgraduate School
2017
Bachelor of Science in Criminal Justice
Troy University
2009
Research Interests
My research focuses on GPU-accelerated optimization, numerical linear algebra, and distributed scientific computing, with specific applications to stochastic linear programming. I explore the intersection of parallel computing and optimization for integer programming, leveraging GPU acceleration and distributed computing frameworks to enhance the efficiency of solving large-scale optimization problems in military and aerospace applications.
Professional Experience
Operations Research Analyst
Manpower and Reserve Affairs Headquarters Marine Corps
2021 - 2024
Administrative and Operations Officer (Various Roles)
United States Marine Corps
2010 - 2019
Police Officer
Traffic Enforcement Unit & SWAT Team
2006 - 2010
Notable Achievements
Developed an analytical support tool for Military Personnel Marine Corps (MPMC) appropriation financial management analysts for the $2.3 billion BAH program, achieving time savings and improved costing accuracy.
Created automation tools in Python for improved historical data analysis and cost estimation, enhancing accuracy and reducing time required for analysis from over one week to under 10 minutes.
Publications
Wigington, L. (2023). "Human Capital." Marine Corps Gazette, 107(11), 18–21.
Horner, D. Wigington, L. and Yoshida, R. (2021). "Red Cell Analysis of Mobile Networked Control System Supporting a Ground Force." Center for International Maritime Security.
View Article →Wigington, L. (2021). "Red Cell Analysis for Mobile Networked Control Systems." Master's Thesis, Department of Operations Research, Naval Postgraduate School.
Presentations
Wigington, L. (2025). "Solving Stochastic Programs with GPUs: A Literature Review." International Conference on Stochastic Programming, Paris, France.
Wigington, L. (2025). Poster presentation. SIAM Northern and Central California Sectional Conference.
Projects
Mandelbrot GPU Computation
GPU-accelerated computation of the Mandelbrot set using CUDA and Julia, achieving 119,315 GFLOPS on RTX 4080 with optimized memory access patterns and computational throughput.
NLA-Visualize
Animated GPU/CPU visualizations for numerical linear algebra concepts.
NLA-Teaching-Notebooks
Educational Jupyter notebooks for teaching numerical linear algebra and optimization techniques.