The department has faculty with wide-ranging research experience and diverse interests. An overview is presented below.

Haim Bar | Assistant Professor; High dimensional data, bioinformatics, statistical modeling, model selection |

Kun Chen | Associate Professor; Dimension Reduction, Variable Selection, Multivariate Analysis, Statistical Computing, Statistical Ecology, Environmental Statistics, Bioinformatics, Public Health Applications |

Ming-Hui Chen | Professor; Bayesian Statistical Methodology, Bayesian Computation, Categorical Data Analysis, DNA Microarray Data Analysis, Missing Data Analysis (EM, MCEM, and Bayesian), Monte Carlo Methodology, Prior Elicitation, Statistical Methodology for Prostate Cancer Data, Statistical Modeling, Survival data analysis, and Variable Selection |

Zhiyi Chi | Professor; Applied Probability, Stochastic Processes, Large Deviations |

Victor Hugo Lachos | Professor; Linear/Non Linear Mixed-Effects Models, Generalized Linear Mixed Models, Skew-elliptical/Elliptical distributions, Time Series, Measurement error models, Semiparametric Models, Censored Regression Models, Spatial Models, Augmented Models |

Joseph Glaz | Professor; Applied Probability, Geometrical Probability, Probability Approximations, Probability Inequalities, Parametric Bootstrap, Sequential Analysis, Simultaneous Inference |

Yuwen Gu | Assistant Professor; High-dimensional statistical analysis, variable selection, model combination, nonparametric statistics, and large-scale optimization |

Ofer Harel | Professor; Methods for Handling Incomplete Data, Causal Inference, Verification Bias, Longitudinal Studies, Bayesian Methods, Sampling Techniques, Mixture Models, Latent Class and Latent Transition Analysis, and Statistical Consulting |

Lynn Kuo | Professor; Bayesian Computation, Survival Analysis, Nonparametric Bayesian Statistics, Software Reliability, Longitudinal Data Analysis, Survey Sampling, Bioinformatics and Biostatistics |

Suman Majumdar | Associate Professor; Metrization of Weak Convergence, posterior asymptotics, psychometry, inference in SDEs |

Nitis Mukhopadhyay | Professor; Survey sampling, environmental sampling, clinical trails, and multivariate data analysis |

Vladimir Pozdnyakov | Professor; Limit Theorems, Sequential Analysis, Mathematical Finance, Occurrence of Patterns |

Nalini Ravishanker | Professor; Time Series modeling, Times-to-events Analysis, Inference for Stable Processes, Signal Processing, Simultaneous Inference Procedures, Statistical Methods in Actuarial Science, Marketing, Environmental Engineering and Transportation Engineering |

Elizabeth Schifano | Assistant Professor; Biostatistics, Statistical Genomics, High-dimensional Data Analysis, Variable Selection |

Rick Vitale | Professor; Convex-geometric methods in probability and statistics, stochastic geometry, inequalities |

HaiYing Wang | Assistant Professor; Incomplete data analysis, Model selection and model averaging, Nonparametric and semi-parametric regression, Optimum experimental design, Sub-sample methods for big data |

Xiaojing Wang | Assistant Professor; Bayesian Modeling, Latent Variable Models and Item Response Models, State Space Models and Time Series Data Analysis, Gaussian Processes, Subgroup Analysis and Model Selection |

Jun Yan | Professor; Dynamic Survival Models, Longitudinal Data Analysis, Spatial Statistics, Estimating Functions, Statistical Computing, Biostatistics, Public Health Applications, Econometrics |

Yuping Zhang | Assistant Professor; Statistical and computational methods to address scientific problems in genomics, systems biology, and complex diseases |