United States Military Academy · Class of 2029
Cadet at West Point majoring in Operations Research with a Finance specialization and a minor in Artificial Intelligence. From Chicago, Illinois.
Profile
I major in Operations Research and minor in Artificial Intelligence at West Point. My research focuses on military logistics, using reinforcement learning and network optimization to model how supply networks can be interdicted. This past summer I interned at the Army’s Transformation Decision Analysis Center and met with leaders at Palantir, Apple, Meta, and OpenAI to understand where innovation is headed.
I intend to commission as an Infantry officer and lead Soldiers first, then build toward operations research and artificial intelligence work in the Army, and eventually return to West Point to teach in the Department of Mathematical Sciences.
Work
A research site built for West Point's MA289 independent study in machine learning. Applies Decision Trees, Bagging, and Random Forests to the Titanic dataset to study how ensemble methods reduce overfitting and improve prediction accuracy.
View Project 02A web tool built to help cadets organize and track gear for Cadet Field Training, West Point's summer military training program.
Open App 03A reinforcement learning agent managing a simulated distribution network learned to game its own reward. A case study in diagnosing reward hacking through behavioral auditing, then rebuilding the objective and verifying the fix.
View Project 04A library of full-length practice examinations, answer keys, and scoring rubrics built as course CIC for MA103 Data-Driven Modeling. Reverse-engineered from the course's lesson objectives and graded gates to prepare cadets for each written exam.
View Project 05A redesign of West Point's writing center website, built around the act of writing: paper, fountain-pen ink, and a consultant's red pencil. Features a custom WebGL ink shader and booking rules set as an Army memo.
View Project 06Independent research with LTC Matthew Webb, extending his doctoral work on reinforcement learning for network interdiction. Models the sea lanes that carry Taiwan's crude oil as a 57-node network and trains an agent to find where a fixed-budget adversary would cut the supply. The summary, the current model, its data and sources.
View Project 07Lesson-by-lesson notes for West Point's GE203 Physical Geography, Block 2: climate, vegetation, soils, and landforms. Each lesson is organized by objective, with key terms, a self-check, flashcards, and an interactive Köppen climate classifier. Written for cadets to use during the block.
View Project 08Exam prep for the GE203 Block 2 written partial review: a pacing plan for the 75-minute, 200-point format, a bank of free-response questions with point rubrics and model answers, and a timed practice exam.
Open App 09Colorful blocky food-blaster free-for-all for kids: bounce, stomp and splat other chefs while crates and meteors rain from the sky. Play solo against bots or 1v1 online with a friend.
Play GameBackground