Ph.D. in Computing & Information Science
First semester; current
In progress
Professional summary
AI researcher and software engineer focused on auditable knowledge tracing, adaptive assessment, human-centered AI, and applied systems. Completing an M.S. in Computer Science while beginning a Ph.D. in Computing & Information Science. Prior U.S. Air Force aircraft-maintenance experience informs a disciplined approach to state, failure, verification, and technical communication.
Education
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
Final semester
Bachelor of Science in Computer Science
Magna Cum Laude · Degree GPA 3.824
Dec. 2025
Research and scholarship
Auditable knowledge tracing
Designed and implemented a temporal heterogeneous Student Knowledge Map with leakage-safe provenance, prediction-before-update replay, prospectively locked evaluation, and a separate release-verification workflow.
M.S. thesis
From Prediction to Educational Consequence
First and corresponding author with Xin Zhong. Developed a six-layer evidence-to-action framework, an explicit inference-policy boundary, and claim-specific evidence mapping for adaptive assessment.
Submitted to Studies in Educational Evaluation.
2026
Selected experience
United States Air Force · Aircraft Maintenance
Maintained B-1B and KC-135 airframes in a high-consequence operational environment requiring procedural discipline, careful diagnosis, verifiable condition, and clear technical handoffs.
Veteran
Applied product prototyping
Designed and built a cross-platform credential-renewal tracking prototype for small trade contractors using React Native, TypeScript, and Expo, with human confirmation for OCR-assisted dates and explicit compliance boundaries.
Current
Selected public work
Temporal Heterogeneous Graph KT
Graph-aware learner-modeling research prototype.
RepositoryClick-to-Talk
Voice-assisted pointer interaction for fine-motor accessibility.
RepositoryHolistic User Map Starter
Persistent assistant-personalization reference implementation.
RepositoryTechnical strengths
- Languages and platforms
- Python, JavaScript, TypeScript, Java, C++, SQL, HTML, CSS, React Native, Expo, Git
- AI and data
- Knowledge tracing, temporal and graph learning, NLP, approximate-nearest-neighbor search, ETL, relational data
- Research engineering
- Experiment governance, reproducible evaluation, automated testing, technical visualization, LaTeX, research writing
- Systems
- Accessibility-oriented UI, persistent state, responsive web interfaces, technical documentation