Area of research
Statistics and Probability · Physiology
Research interest
Research interests include Physical Activity and Health, Advanced Causal Inference Techniques, Statistical Methods in Clinical Trials, and Artificial Intelligence in Healthcare.
Effects of exercise on cognition and Alzheimer's biomarkers in a randomized controlled trial of adults with mild cognitive impairment: The EXERT study
Abstract 058: Accelerometer-Measured Physical Activity and Sedentary Behavior and Risks of All-Cause and Cardiovascular Disease Mortality Among Postmenopausal Cancer Survivors: The Women’s Health Accelerometry Collaboration
Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors
Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness
Community-engaged optimization of COVID-19 rapid evaluation and testing experiences: roll-out implementation optimization trial
Discovery of genomic loci of the human cerebral cortex using genetically informed brain atlases
Structural connectome quantifies tumour invasion and predicts survival in glioblastoma patients
CHAP-child: an open source method for estimating sit-to-stand transitions and sedentary bout patterns from hip accelerometers among children
Rapid, Large-Scale Wastewater Surveillance and Automated Reporting System Enable Early Detection of Nearly 85% of COVID-19 Cases on a University Campus
The CNN Hip Accelerometer Posture (CHAP) Method for Classifying Sitting Patterns from Hip Accelerometers: A Validation Study
Relation of Statin Use Prior to Admission to Severity and Recovery Among COVID-19 Inpatients
Low perfusion compartments in glioblastoma quantified by advanced magnetic resonance imaging and correlated with patient survival
Intratumoral Heterogeneity of Glioblastoma Infiltration Revealed by Joint Histogram Analysis of Diffusion Tensor Imaging