Developing and testing tools using biomedical & health data for early detection, intervention, and prevention of disease
Featured Projects
The Digital Biomarker Discovery Project aims to improve the transparency and reproducibility of digital biomarker studies by providing open-source frameworks and analytical methods.
Our lab is developing digital biomarkers of glycemic health from wearables data physiology, with a focus on robustness across diverse glycemic variability, interstitial glucose ranges, and hemoglobin A1c values.
Our lab is developing InfectionWatch, a device-agnostic framework that uses physiological signals from consumer wearables to detect infection earlier than symptoms alone.
Current Projects
We aim to understand and prevent dysglycemia by uncovering how lifestyle, behavior, and physiology interact to shape metabolic risk.
Using wearable sensors and digital biomarkers, we aim to detect pain, stress, and complications earlier—helping clinicians personalize care and improve patient recovery.
We identify and model biological, behavioral, and environmental determinants of disease across large, diverse cohorts.
Advancing digital health equity requires ensuring that emerging wearable technology benefit all individuals, regardless of demographics, health status, or access to technology.
We are developing computational methods, open platforms, and analytic frameworks that enable high-quality biosignal analysis and reproducible digital biomarker research.
