AI Research Engineer | Trustworthy AI Evaluation | Model Selection for Language-Based Decisions | Responsible AI
My in-progress doctoral research at Clarkson University, advised by Dr. Jeanna Matthews, asks when a text classifier is adequate for a specific decision rather than simply best on a benchmark. I am developing a consequence-driven framework that converts what errors cost the people who act on a model's output into operating requirements such as recall floors, false-positive limits and calibration, then qualifies and selects candidate models against them with explicit uncertainty bounds. The framework and study protocol are in progress; no evaluation results are claimed yet.
I also build research software for multi-agent systems, AI evaluation, and computer vision. I am a PhD candidate in Computer Science at Clarkson University and an independent AI research engineer at Kymera Systems LLC, based in San Antonio, Texas.
Portfolio · Resume · Academic CV · LinkedIn · ORCID · Google Scholar
- Question: deciding when a language classifier is adequate for a specific decision: turning the consequences of errors into measurable requirements, then selecting and qualifying models against them with explicit uncertainty.
- Planned methods: probability calibration, selective prediction and deferral, interval estimation (Wilson bounds, bootstrap), and non-inferiority and equivalence testing.
- Worked case: detecting subjectively biased wording in Wikipedia sentences to support human editors, using the WIKIBIAS benchmark.
- Status: a proposed doctoral research direction. The framework and study protocol are in progress; no results or publications from it exist yet.
| Project | Focus |
|---|---|
| circle | Go research-collaboration framework with a knowledge graph, shared memory, artifact tracking, review gates, and 22 MCP tools over git. |
| ofiqpy | Python implementation of the BSI OFIQ v1.1.0 profile: 27 face-image-quality components and a unified score, model integrity checks, and C++ comparison workflows. PyPI. |
| okf-tools | Validation, linting, migration, and indexing for Open Knowledge Format bundles, including relationship and semantic checks. |
| lunar-terrain-sidecar | Lunar terrain authoring for Godot robotics simulation using LOLA/PGDA terrain, ephemeris-derived illumination, and provenance. Software archive. |
| swinvit-face-verification | Common evaluation interface for SwinFace and ArcFace encoders over public benchmark data, with integrity checks and documented limitations. |
| medicaid-kg | Knowledge-graph and geospatial exploration of the 227-million-row HHS Medicaid provider-spending dataset using DuckDB, NetworkX, and agent-assisted querying. |
OpenFIQA Studio is a design-stage scientific environment for biometric quality and verification research. The repository contains its architecture, scientific schemas, and design records.
Publication record updated September 8, 2026.
Published
- Ali Kia, Aaron W. Storey, and Masudul H. Imtiaz. Advanced Hardware Security on Embedded Processors: A 2026 Systematic Review. Electronics, 15(5), 1135 (2026). Published March 9, 2026. DOI.
Accepted and presented
- Aaron W. Storey and Masudul H. Imtiaz. A Three-Channel Audit of the Biometric Evidence Chain. IEEE AIBThings 2026. Presented September 6, 2026; proceedings publication pending.
- Aaron W. Storey, Ali Kia, and Masudul H. Imtiaz. LLM on the Edge: A 2026 Perspective. IEEE AIBThings 2026. Presented September 6, 2026; proceedings publication pending.
Accepted; presentation pending
- Aaron W. Storey, Ajan Ahmed, Yash Sukhdeve, Masudul H. Imtiaz, and Sumona Mondal. Nonparametric Template Persistence Curves for Child Face Recognition via Beta Generalized Additive Models. IEEE UEMCON 2026.
- Clarkson University: PhD Candidate in Computer Science, advised by Jeanna Matthews; member, Explainability & Transparency Group, since September 2026.
- Kymera Systems LLC: Independent AI Research Engineer, August 2025 to present. Multi-agent prototypes and verification workflows.
- Clarkson University, AVHBAC Laboratory: Graduate Research Assistant, Autonomous Systems and AI, June 2026 to September 2026. Simulation and evaluation for GNSS-denied navigation, perception, and sensor fusion.
- Clarkson University, CITeR: Graduate Research Assistant, Trustworthy AI and Biometrics, June 2025 to May 2026. Biometric measurement, explainable AI, and face-image quality.
- Education: PhD study at Clarkson University from January 2025; M.S. in Artificial Intelligence, Maryville University (2024); B.S. in Information Technology, American Military University (2017).
- Teaching: Nine guest lectures for EE622 Advanced Biometrics; co-creator of the free 100 Days of Machine Learning curriculum.
Before graduate research, I served in the United States Army, August 2002 to January 2018, across medical operations, technical training, information management, and deployed communications, including Defense Health Agency assignments. I completed my undergraduate IT degree during service.
Tools: Python, Go, R, SQL, PyTorch, Hugging Face Transformers, scikit-learn, FastAPI, DuckDB, Docker, Linux, Git, ROS2, OpenCV, and Godot.
For research collaboration or AI research engineering opportunities: storeyaw@clarkson.edu.