Bhattacharyya, Sharmodeep:

  • Statistics on graphs and networks
  • High-dimensional structured density estimation
  • Unsupervised learning especially clustering and manifold learning
  • Application of Statistics in Astronomy and Astrophysics
  • Statistical Genetics
  • Statistical Application in Neuroscience
  • Multiple hypothesis testing
  • Semiparametric and nonparametric statistical techniques and Time-series analysis

Di, Yanming:

  • Statistical Genetics/genomics
  • Disease Mapping (linkage and association studies)
  • RNA-Seq
  • Gene Expression and Regulation

Emerson, Sarah:

  • Nonparametric and Semi-parametric Methods
  • Biostatistics
  • Adaptive and Group Sequential Clinical Trials Methodology
  • Categorical Data Analysis; Multiple Hypothesis Testing
  • Multivariate Analysis
  • High-dimensional Data Analysis

Fuentes, Claudio:

  • Post-Selection Inference
  • Bayesian Methodology
  • Statistical Applications to Ecology

Gitelman, Alix:

  • Graphical Models
  • Spatial Statistics
  • Environmental Statistics

Jiang, Duo:

  • Statistical genetics/genomics. Biostatistics
  • Quasi-likelihood methods, mixed models, and inference on dependent samples
  • Association mapping. High-throughput sequencing. RNA-seq.

Jiang, Yuan:

  • Statistical Inference for large-Sscale Data
  • Nonparametric Genome-wide Association Tests
  • Rare Variant Analysis for Next-generation Sequence Data
  • Statistical Methods and Application in RNA-Seq Data
  • Incorporating Genetic Prior Information into Association Studies

Lesser, Ginny:

  • Sampling
  • Survey Methodology
  • Environmental Statistics
  • Applied Statistics

Madsen, Lisa:

  • Dependent Discrete Data
  • Abundance and Occupancy Models
  • Spatial Statistics
  • Statistical Computing and Simulation
  • Environmental Statistics

Mondal, Debashis:

  • Spatial statistics, matrix-free methods, Markov chain Monte Carlo, time series analysis
  • Applications in agriculture, astronomy, atmospheric sciences, geographical epidemiology and environmental sciences

Pantula, Sastry:

  • Testing for Trends in Correlated Data
  • Unit Root Hypothesis Testing
  • Linear and Nonlinear Mixed and Random Coefficient Models
  • Spatial Statistics

Pereira, Cliff:

  • Applications of Statistics in Biology
  • Design and Analysis of Experiments
  • Mixed Models, Specifically Models for Complex Multi-level Designs and Issues in Extending Linear Mixed Model Results to Generalized Linear Mixed Models and other Non-Linear Mixed Models
  • Permutation Tests for Sparse Data
  • Statistical Consulting

Wickham, Charlotte:

  • Spatial Statistics
  • Statistical Computing and Graphics
  • Environmental Statistics

Xue, Lan:

  • Nonparametric Curve Estimation
  • Polynomial Spline Smoothing
  • Model Selection
  • Time Series Analysis
  • Clustered/longitudinal Data Analysis