Education
PhD, University of Florida, 2005
Research Interests
- Statistical Methodologies: Bayesian Modeling and Inference, Machine Learning and Data Mining, AI and Generative Models, Multi-omics and Multi-platform data integration, Spatio-Temporal Modeling Big Data Analytics and Applications, Biostatistics and Bioinformatics, Computation Intensive Statistics and MCMC methods, Survival Analysis, Financial Data and Time Series Modelling.
- Application Areas: Chemometrics, Engineering, Genomics, Bioinformatics, Marketing and Sales, Health Records and Health Informatics, Cancer Studies, Autism, Tuberculosis, Type 2 Diabetes, Environmental Epidemiology, Gun Violence, Disparity in Health Care, Microbiome, Soil and Earth Science.
Honors
2026 Elected Member (Fellow) of the International Statistical Institute (ISI)
2026 Fellow of the Royal Statistical Society (RSS)
2019 Albert Winemiller Faculty Research Award
Teaching
Spring 2026
STAT 4710/7710: Introduction to Mathematical Statistics, Section 2 and 6.