Research
Create robust, clinically validated computational models that transfer across cohorts, devices, and modalities, enabling scalable screening, biomarker discovery, and individualized health and disease assessment from routinely collected physiological signals.
Sleep physiology and digital biomarkers
Extract interpretable markers of sleep health, aging, fragmentation, and neurological disease from polysomnography and related physiological signals.
27 publications
Foundation models for physiological signals
Develop and evaluate self-supervised and foundation-model approaches that learn reusable representations across physiological modalities, cohorts, and downstream health tasks.
9 publications
Wearables for scalable health assessment
Use wrist accelerometry and other low-cost sensors to derive scalable physiological markers for sleep, activity, neurodegenerative disease screening, and future health risk.
15 publications