The High-Dimensional, High-Density, and High-Definition (HD³) Lab develops statistical methods for complex health data. Data sources include wearable sensors (e.g., accelerometers, continuous glucose monitors, smartphones) and clinical monitoring systems (e.g., arterial lines, central venous catheters, electrocardiograms). Applications span public health and medicine and include population-level physical activity characterization, perioperative risk prediction, and gait assessment.
We welcome collaborative individuals who want to work with big, messy, real-world data and apply their solutions to problems that matter.
Research tags: statistics, biostatistics, wearable devices, digital health, functional data analysis, machine learning
Open to interested B.S. in Data Science and Ph.D. in Data Science students.
