Degree Program Offered: Master of Science in Statistics, with option in Data Science

Program Director: Professor Rong Chen, 580 Hill Center for the Mathematical Sciences, Busch Campus (848-445-2690)

Website: http://msds-stat.rutgers.edu

Members of the Graduate Faculty

Pierre Bellec, Assistant Professor of Statistics and Biostatistics, SAS; Ph.D., Ecole Nationale de la Statistique et de l'Administration Economique (Paris)
High-dimensional statistics; aggregation of estimators; shape constrained problems in statistics; probability theory

Javier F. Cabrera, Professor of Statistics and Biostatistics, SAS; Ph.D., Princeton
Biostatistics; statistical genomics; clinical trials data analysis; Bayesian methods; statistical computing and graphics

Rong Chen, Professor of Statistics and Biostatistics, SAS; Ph.D., Carnegie Mellon
Nonlinear and multivariate time series analysis; Monte Carlo methods, statistical computing, and Bayesian analysis; statistical applications in economics and business; statistical applications in bioinformatics

Harry Crane, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., Chicago
Probability theory and stochastic processes; clustering and other applications in genetics, network analysis, and homeland security; combinatorics and discrete mathematics

Lee Dicker, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., Harvard
High-dimensional data analysis; analysis of proteomic data; longitudinal and correlated data analysis

Donald R. Hoover, Professor of Statistics and Biostatistics, SAS; Ph.D., Stanford
Longitudinal methods; observational studies; clinical trials; health care utilization

Ying Hung, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., Georgia Tech
Computer experiments; design of experiments

John E. Kolassa, Professor of Statistics and Biostatistics, SAS; Ph.D., Chicago
Asymptotics; biostatistics; applications of statistics in nursing and criminal justice

Ping Li, Associate Professor of Statistics and Biostatistics, SAS; Ph.D., Stanford
Massive data;, statistical learning and computing

Regina Y. Liu, Chair and Professor of Statistics and Biostatistics, SAS; Ph.D., Columbia
Nonparametric inferences; resampling; theory and applications of data depth; statistical quality control

Harold B. Sackrowitz, Professor of Statistics and Biostatistics, SAS; Ph.D., Columbia
Inference and decision theory; acceptance sampling; order-restricted inference

William E. Strawderman, Professor of Statistics and Biostatistics, SAS; Ph.D., Rutgers
Decision theory; Bayesian analysis; multivariate statistics

Zhiqiang Tan, Professor of Statistics and Biostatistics, SAS; Ph.D., Chicago
Nonparametric and semiparametric statistics; applications in causal inference; survey sampling; Monte Carlo integration

David E. Tyler, Professor of Statistics and Biostatistics, SAS; Ph.D., Princeton
Multivariate analysis; robust statistics; directional data; psychometrics; computer vision and time series; functional data analysis

Han Xiao, Assistant Professor of Statistics and Biostatistics, SAS; Ph.D., Chicago
Nonlinear and nonstationary time series; algebraic statistics; random matrix theory

Minge Xie, Professor of Statistics and Biostatistics, SAS; Ph.D., Illinois
Statistical inference; latent models; longitudinal data analysis and estimating equations; robust statistics; ebiostatistics

Dan Yang, Assistant Professor of Statistics and Biostatistics, SAS; Ph.D., Pennsylvania
Massive data; statistical applications in neuroscience

Cunhui Zhang, Professor of Statistics and Biostatistics, SAS; Ph.D., Columbia
Empirical Bayes; high-dimensional data; survival analysis and incomplete data; statistical inference; probability theory