GPU-Accelerated Optimization for Defense-Scale Problems
Senior military officer and operations research scientist applying high-performance computing and stochastic programming to the hardest resource allocation problems in defense.
About
I am a Lieutenant Colonel in the United States Marine Corps and a fellow in the Marine Corps Doctor of Philosophy Technical Program (PHDP-T) at the Naval Postgraduate School, competitively selected to conduct doctoral research in Operations Research. My work sits at the intersection of GPU computing, mathematical optimization, and defense decision-making.
My research investigates GPU-accelerated Splitting Conic Solver (SCS) as a competitive alternative to classical scenario decomposition for large-scale two-stage stochastic linear programs — with application to a novel stochastic programming formulation of Marine Corps Investment Portfolios under uncertainty. I have presented this work at the International Conference on Stochastic Programming (Paris, 2025) and the SIAM Northern and Central California Sectional Conference (2025), and will present at SIAM OP26 (Edinburgh, June 2026).
Prior to my current assignment, I served as an Operations Research Analyst at Manpower and Reserve Affairs, HQMC, where I built analytical tools supporting the Marine Corps' $2.3 billion BAH appropriation program and applied optimization methods to officer talent management policy.
Research
Dissertation and active research threads
Projects
Selected technical projects spanning GPU kernel optimization, operations research, and network optimization. Each project reflects hands-on work at the intersection of computing and applied mathematics.