Aaron W. Storey

PhD Candidate | Explainable AI Researcher | Opening the Black Box

Research Focus

Making AI interpretable, trustworthy, and auditable.

| Area | Focus | |------|-------| | XAI Methods | Attribution, counterfactuals, faithful explanations | | Transformer Interpretability | Logic-gated modules, attention probes, mechanistic analysis | | Adversarial ML | Robustness testing, perturbation analysis, model brittleness | | Applications | Biometrics, LLMs, vision models, safety-critical systems |

PhD Thesis: Developing falsifiable attribution methods for explainable AI - systems that can be empirically validated and audited.

Proposal Defense: February 2026 @ Clarkson University

Featured Projects

| Project | Description | Status | |---------|-------------|--------| | Beta Regression Framework | Statistical framework for bounded biometric performance in child face recognition | IEEE T-BIOM | | Agentic AI Seminar | Personas & affective prompting as behavioral control surfaces | Clarkson Seminar | | Goblin Forge | Multi-agent CLI orchestrator for Linux with tmux isolation | Active Dev | | SIFTER | NASA Space Apps 2024: ML seismic detection for moon/marsquakes | NASA Hackathon | | 100 Days of ML | Complete 35-lesson curriculum: Python basics to XGBoost | | | Research Assistant | PRISMA 2020 + NIH-compliant research workflow automation | 22 skills, 10 agents | | Money Talks | Trading & investing education: 100 notebooks, 5 classes | Complete | | EE622: Biometrics Transformers | 10-week graduate course: ViT for fingerprint, face, gait, speaker, ECG | Clarkson University |

Current Work

• Dissertation: Counterfactual frameworks for falsifiable attribution in face verification
• IEEE T-BIOM (Under Review): Beta regression for bounded biometric metrics
• IEEE T-BIOM (In Preparation): AI Act/GDPR/Daubert → XAI validation framework
• MDPI Electronics (Under Review): Hardware security review for embedded processors
• In Preparation: Affective prompting & persona manipulation systematic review
• AI Engineer @ Kymera Systems: Building intelligent AI orchestration systems

Tech Stack

GitHub Stats

Connect

• Portfolio: astoreyai.github.io
• LinkedIn: linkedin.com/in/astoreyai
• ORCID: 0009-0009-5560-0015
• Email: storeyaw@clarkson.edu

"Make explainability an engineering discipline: measurable faithfulness, human factors by design, and governance that withstands audits."