Professional Interest

• High-dimensional Data Analysis
• Analytic Methods for BIG Data
• Small Area Estimation, Spatial Statistics
• Linear and Generalized Linear Mixed Models
• Bayes and Empirical Bayes Methods
• Business Analytics, Engineering Statistics

Current Research Projects

• Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion using Bayesian Calibration - A project with Mechanical Engineers
• Brain Functional Connectivity and Alzhimer Disease - A BIG Data collaborative project
• High-dimensioanl Spatial Prediction Models: A Statistical Methodology Project
• Supply Chain Network Estimation: A collaborative project with Business School
• Clustering Based High Dimensioanl Covariance Estimation: A Statistical Methodology Project

Modeling, Computational and Inferential Issues in Fingerprint and Health Monitoring Applications, funded by NSF Statistical Methods Based on Parametric and Semiparametric Hierarchical Models to Solve Problems Related to Socio-Economic-Demographic Deprivation Measures, funded by NSF. Innovative Approaches for Analyzing SEER Breast Cancer Data, funded by NIH Implementing Sustainable Diabetes Prevention and Self-Management in Primary Care, funded by NIH