Data Science student at the University of Wisconsin–Madison.
Research focus: Reliable Scientific Machine Learning · Neural Operators · Numerical & Physical Fidelity · Uncertainty Quantification · Evidence-Grounded AI
📄 Curriculum Vitae (PDF) · GitHub · LinkedIn · Email
Precision-sensitive failure diagnosis and physics-based defect correction for quantized neural operators.
Repository · Preprint · Zenodo Software DOI
Declarative evidence-state interfaces for safer bounded human-AI visual inspection.
ACM UIST Adjunct 2026 Poster Publication
Repository · Paper · Official ACM DOI
Latent proxy-evidence auditing and conformal risk control for generative data mining.
Repository · Preprint · Zenodo Release
Risk-aware active evidence acquisition under workflow, budget, safety, and review-capacity constraints.
Repository · Preprint · Zenodo Release
Controlled generation and transition-preserving state tracking for multi-turn structured interfaces.
Repository · Preprint
AI-assisted accessibility mapping prototype for sidewalk quality control and anomaly screening (Culver 1st Place).
Repository & Technical Docs
- WiSys SPARK Symposium 2026:Placement-Aware Quantization for Fractional-PDE Neural Surrogates (Poster)
Zenodo DOI: 10.5281/zenodo.22044287 - Pi Mu Epsilon (PME) Regional Undergraduate Mathematics Conference 2025:Numerical Stability and Convergence of Physics-Constrained Neural Networks in Vibration Modeling (Presentation)
Zenodo DOI: 10.5281/zenodo.22044564
- MagTrace-MX: TinyML-enabled inductive-sensing quality fixture for component identity, placement, orientation, and workflow verification.
- DuctSense AFD: Clamp-on structure-borne vibration system for non-invasive duct restriction diagnostics.
- Assistive Hand-Gesture AI: Wearable gesture-recognition interface design and validation report.
- SwallowSafe AI: Closed-loop assistive fluid pacing concept for dysphagia-risk workflows.