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astoreyai/README.md

Aaron W. Storey

PhD Candidate | Explainable AI Researcher | Opening the Black Box

LinkedIn ORCID IEEE

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 Stars
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

Python PyTorch Go TensorFlow scikit-learn LaTeX

GitHub Stats

GitHub Stats

GitHub Streak

Connect

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

Pinned Loading

  1. ai_scientist ai_scientist Public

    Research Assistant Plugin for Claude Code - Complete research workflow automation with AI-detection

    Python 4 4

  2. claude-skills claude-skills Public

    Personal collection of Claude Code skills for enhanced AI-assisted workflows

    Python

  3. money-talks money-talks Public

    Jupyter Notebook

  4. 100daysofml/100daysofml.github.io 100daysofml/100daysofml.github.io Public

    100 Days of Machine Learning Challenge

    Jupyter Notebook 75 14

  5. astoreyai astoreyai Public

    HTML

  6. biometric_fingerprint_analysis biometric_fingerprint_analysis Public

    Biometric Fingerprint Analysis MCP server

    Python