Curricula Vitae in Statistics

Name	Personal Focus	Summary
Dr. Ray Bai Assistant Professor		Ray Bai's methodological and theoretical research focuses on high-dimensional Bayesian models (particularly semiparametric/nonparametric methods) and scalable algorithms for high-dimensional data. His applied research focuses on meta-analysis, data integration, and statistical analysis of electronic health records (EHRs).
James Bird Instructor		James Bird is an Instructor in the Department of Statistics, College of Arts and Sciences.
Griffin Brooks Instructor
Professor Ian L Dryden Professor	Shape Analysis, Statistical Image Analysis, Medical Image Analysis	My broad research interests concern the development of generic statistical methodology motivated by important real-world applications. I am particularly interested in geometrical problems, for example the statistical analysis of the shapes of objects. Such data are routinely available in a very wide variety of settings, from the smallest scale of atoms and molecules in chemistry, to the study of complex organisms in biology and medicine.
Dr. Karl Gregory Associate Professor	Statistics	Dr. Gregory is an assistant professor in the Department of Statistics at the University of South Carolina. He completed his BS at Central Michigan University and his MS and PhD in Statistics from Texas A&M University. After finishing his PhD he spent two years as a postdoc at the University of Mannheim. Much of his current research focuses on bootstrap methods for inference in high-dimensional regression and on nonparametric regression.
Tracey Danielle Gunter Instructor		Tracey Gunter is an Instructor in the Statics department.
Dr. Brian Habing Associate Professor	Item Response Theory, Scale Construction, Multivariate Statistics	Dr. Habing's current research is in the field of Educational and Psychological Measurement. Most of his recent research is centered around Item Response Theory (IRT). Item response theory is the latent variable modeling approach commonly applied to data from large scale standardized testing.
Dr. David Benner Hitchcock Department Chair/Professor	Multivariate Statistics, Computer Intensive Methods, Smoothing Methods	Research interests are: Functional Data Analysis, Smoothing Methods, Cluster Analysis, Environmental and Ecological Applications, Computer-Intensive Statistical Methods, and History of Statistics
Yen-Yi Ho Associate Professor	Statistics, Computational Biology, Statistical Consulting	My research interests include computational biology, statistical genetics, and statistical applications in biomedical research. I am particularly interested in developing statistical methods and computational tools to improve our understanding of complicated biological systems using functional genomic data. My current research interest includes modeling genetic interactions through gene expression alterations, developing statistical algorithms for high-dimensional data.
Dr. Xianzheng Huang Professor	Mixed effects models, Inference based on coarsened data, Inference in the presence of model misspecification	I study statistical inference when observed data are coarsened or/and the assumed model for observed data is incorrect. Based on findings in this direction, I develop diagnostic methods to detect model misspecification.
Dr. Xiaoyan Lin Associate Professor	Bayesian, Analysis	Her research interests include: Bayesian hierarchical modeling, objective Bayesian analysis, item response theory, Bayesian survival analysis, and agreement measures.
Ting Fung Ma Assistant Professor		Ting Fung Ma research concerns the development of novel methodologies for data with complex dependence and big volume, such as spatial data, spatio-temporal data and correlated categorical data. He aims to capture the essence of data and address both theoretical and computational challenges through concepts and tools from composite and approximate likelihood theory, and modern computational techniques.
Mrs. Amanda Ballou Murphy Senior Instructor	Statistics	Amanda Murphy is an instructor for the Department of Statistics at the University of South Carolina.
Geophrey Odero Senior Instructor		Geophrey Odero is a Statistics Instructor for the University of South Carolina.
Dr. Edsel Aldea Pena Professor	high-dimensional data analysis	Professor Edsel Pena's research focuses on developing statistical methods relevant to biomedical research, such as colon cancer research.
Kelvin Pompey Instructor		Kelvin Pompey is an Instructor in the Department of Statistics, College of Arts and Sciences.
Wilma J Sims Senior Instructor
Michael Stutz Instructor
Dr. Joshua Michael Tebbs Professor		Current research interests are: Categorical data, statistical methods for pooled data (group testing), order-restricted inference, applications in epidemiology and public health
Dr. Dewei Wang Associate Professor		Dewei Wang is an Associate Professor in the Department of Statistics, College of Arts and Sciences. In general, his research program is directed by an overarching interest in problems dealing with public health, epidemiology, and biostatistics.He is always looking for opportunities for collaboration. Please contact him if you are interested in working together on a project.
Professor Lianming Wang Associate Professor	Survival analysis, Multivariate analysis, Multiple hypothesis testing, Longitudinal data analysis, Biomedical applications	My primary research area is survival analysis and its applications in biomedical studies, social science and behavioral studies, environmental and epidemiological studies. I am particularly interested in interval-censored failure time data from cancer studies and transmitted infectious diseases studies.
David Weaver Instructor		David Weaver is an Instructor in the Department of Statistics, College of Arts and Sciences.