Cognitive Neuroscientist & Human Factors Researcher
I study how humans perceive, decide, and act under pressure. By combining psychophysics, pupillometry, and Bayesian modeling, I translate the hidden nuances of human visual attention into intuitive, adaptive interfaces for the future of AR/VR/XR. Targeting Human Factors, Quant UXR, and Research Scientist roles.
Two applied threads: XR interaction research and real-time cognitive monitoring for surgical training.
→ Remote XR testbed · Adaptive UI · arXiv preprint · Bayesian LBA
Built a fully remote, web-based XR-relevant interaction testbed in React/TypeScript. Compared hand and gaze pointing modalities using ISO 9241-9 Fitts' law, NASA-TLX, and hierarchical Bayesian LBA modeling. Evaluated context-aware adaptive UI policies for reducing gaze failure modes.
View Case Study→ Live Shiny app · XGBoost + Platt calibration · Zero wearables
Designed and deployed a real-time cognitive state monitoring dashboard for robotic surgery training. Fuses pupillometry, HRV, and grip/tremor signals via XGBoost. Three instructional threshold policies for training. No headgear, <60s setup.
View Case StudySeeking full-time roles (Summer / Fall 2026) in Human Factors, UX Research, or Research Scientist positions, with emphasis on AR/VR/XR and human performance.