Science
Sleep-derived brain health, clinical AI, and intervention-relevant measurement.
My work asks whether complex biological signals can be turned into rigorous measures of brain health, risk, trajectory, and response.
Research Program
From physiology to decision-relevant biomarkers.
The central aim is to establish clinically meaningful measures of brain health and healthy longevity. That work integrates physiology, clinical neuroscience, machine learning, and longitudinal outcome data.
Sleep is a major entry point because overnight physiology contains structured information about cognition, disease, recovery, and aging. The broader goal is not only to describe sleep, but to build measures that can help track trajectory and evaluate whether interventions are changing the brain in meaningful ways.
Research environment
Part of the Brain Data Science Platform and the Clinical Data Animation Center, building shared infrastructure for brain health research, open clinical data, and translational AI.
Brain Data Science Platform
An open science platform for brain health research, bringing together neurophysiology, imaging, genetics, omics, linked clinical data, code, reproducible publications, and shared computational tools.
Clinical Data Animation Center
A clinical data science research environment focused on brain health, spanning sleep disorders, dementia, epilepsy, acute brain injury, and translational AI tools designed for real clinical settings.