My research interest lies at the interface of applied probability, applied statistics and machine learning. My research is driven by collaborations with many extremely brilliant and outstanding probabilists/statisticians/biostatisticians/computer scientists.

Network Analysis

This is a broad and burgeoning research topic. I am particularly interested in

• Neuroimaging and social science applications
• Network data analysis (community detection, link prediction, etc.)
• Random network models (degree distribution, topological indices, etc.)

Longitudinal Data Analysis

This is the primary focus of my current research. We are committed to developing novel statistical methods for assessing dementia risk in neurodegenerative diseases and related disorders. Specifically, we investigate missing data, measurement error and high dimension problems with focus on the applications to Alzheimer’s Disease, Parkinson’s Disease and other neurodegenerative disorders.

Collaborative Research

I have engaged in a variety of research projects, in collaboration with the faculty members, trainees and medical professionals from

Vanderbilt University Medical Center

• Vanderbilt Memory & Alzheimer’s Center (VMAC)
• Medical-Image Analysis and Statistical Interpretation Lab (MASI)

Perelman School of Medicine at the University of Pennsylvania

• Center for Neurodegenerative Disease Research (CNDR)
• Penn Frontotemporal Degeneration Center (Penn FTD Center)
• Penn Memory Center (PMC)