Cognitive Neuroscientist & Human Factors Researcher
I use psychophysics, pupillometry, and Bayesian modeling to study how people make decisions under pressure, and how that work can feed into interfaces and adaptive systems. Targeting Human Factors, Quant UXR, and Research Scientist roles in AR/VR/XR.
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.