Research Assistant – Human–AI Cognition Lab, Purdue University
Led IRB-approved multimodal trials in a human–AI cognition lab using physiological signals from human participants for safety-critical task analysis. Built run-ready experimental setups and synchronized/QA’d signals to ensure datasets were usable for downstream AI analysis. Focused on robust data capture protocols rather than manual annotation of specific labels. • Collected and QA’d HR, eye-tracking, and EEG signals during controlled task sessions • Calibrated and synchronized multimodal sensors for consistent recordings • Improved experimental protocols for robust analysis readiness • Supported dataset integrity to enable later model training/evaluation