Master of Science in Computer Science
University of Nebraska at Omaha. Artificial-intelligence concentration. Thesis: Auditable Knowledge Tracing with a Temporal Heterogeneous Student Knowledge Map.
About
I’m a researcher, a software builder, and a U.S. Air Force veteran. Right now, I’m finishing my master’s and starting my Ph.D., with AI in education at the center of my work.
Background
Before focusing on software and research, I maintained B-1B and KC-135 airframes in the United States Air Force. That environment rewarded procedural discipline, careful diagnosis, clear handoffs, and respect for the difference between a plausible explanation and a verified condition.
I apply the same outlook to AI research and software engineering. My work focuses on learner modeling, educational technology, human-centered evaluation, persistent systems, and technical communication.
Good technical work should make it possible to see what happened, why it happened, and where uncertainty remains.
Education
I am completing the M.S. while beginning doctoral study, carrying the thesis research forward into a broader program of work in computing and information science.
University of Nebraska at Omaha. Artificial-intelligence concentration. Thesis: Auditable Knowledge Tracing with a Temporal Heterogeneous Student Knowledge Map.
Beginning doctoral study focused on research contribution, technical auditability, human-centered AI, and advanced computing systems.
Degree GPA 3.824; Magna Cum Laude.
Selected accomplishments
The strongest milestones combine academic achievement, original synthesis, research engineering, and the operational foundation that shaped how I work.
First and corresponding author of an adaptive-assessment review submitted to Studies in Educational Evaluation.
Completed a prospectively locked EdNet evaluation with separate release verification and explicit claim boundaries.
Maintained B-1B and KC-135 airframes in an environment where procedural discipline and verifiable condition mattered.
Technical practice
I work across research code, applied product prototypes, data systems, and interactive software. The stack changes; the emphasis on traceability and maintainability does not.
Python, JavaScript, TypeScript, React Native, Java, C++, SQL, HTML, CSS, Git, testing, and technical documentation.
Knowledge tracing, temporal and graph learning, NLP, approximate-nearest-neighbor search, ETL, relational data, and applied modeling.
Experiment governance, accessible interfaces, persistent state, responsive UI, and evidence-centered communication.
Professional overview
The online résumé brings education, research, service, skills, and selected work together in a printable format.