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An end-to-end, research-grade AI system for measuring human cognition. HCMS models mastery, confidence, learning stability, and adaptability through analysis, inference, validation, robustness testing, and explainability — bridging human-centered AI research and applied systems.

  • Updated Jan 23, 2026
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Master's Thesis in Applied Computer Science (110/110 Summa Cum Laude). A pipeline combining counterfactual feature importance (BoCSoR) and hierarchical Association Rule Mining for feature-driven bias detection in tabular classifiers. Validated on the 2024 ACS census microdata.

  • Updated Apr 28, 2026
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