Experience

EDA Biofeedback Group · Stanford HCI (CURIS) · Stanford, CA

Built an end-to-end pipeline for physiological signal analysis and a real-time iOS/watchOS biofeedback app. Developed a spike-detection algorithm to reduce alert latency while keeping false positives stable; co-authored an ACM CHI ’26 paper.

Stanford Translational AI (STAI) Lab · Stanford, CA

Developing video-based methods to detect neuropsychiatric symptoms (e.g., anxiety, agitation, depression) using objective behavioral signals. Built pose/expression-driven modeling and dataset tooling to align multimodal streams and generate model-ready activity datasets.

Ceribell · Sunnyvale, CA

Built multimodal neuro-monitoring infrastructure (EEG + fNIRS), including preprocessing and artifact removal for multi-channel biosignals, feature extraction, and training/evaluating regularized ML models for neurological event detection.