Our faculty participate in a wide variety of applied and theoretical research and collaborate broadly with faculty across OSU. We have made significant and sustained contributions to the development of theoretical statistics and data analytic methods as well as mathematical and computational tools with applications in ecology, risk analysis, genomics, genetics, astronomy, networks, high-dimensional data and survey design. Please visit our faculty web pages to learn more about each member.
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Statistics Research

Statistician Lisa Madsen and collaborators help estimate the total mortality of birds and bats at wind farms to make green energy safer for wildlife.
Faculty research interests

Sharmodeep Bhattacharyya
- 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
View Sharmodeep's profile

Yanming Di
- Statistical Genetics/genomics
- Disease Mapping (linkage and association studies)
- RNA-Seq
- Gene Expression and Regulation
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Sarah Emerson
- 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
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Claudio Fuentes
- Post-Selection Inference
- Bayesian Methodology
- Statistical Applications to Ecology
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Duo Jiang
- Statistical genetics/genomics. Biostatistics
- Quasi-likelihood methods, mixed models, and inference on dependent samples
- Association mapping. High-throughput sequencing. RNA-seq.
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Yuan Jiang
- Statistical Inference for Large-Scale 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
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Virginia Lesser
- Sampling
- Survey Methodology
- Environmental Statistics
- Applied Statistics
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Lisa Madsen
- Dependent Discrete Data
- Abundance and Occupancy Models
- Spatial Statistics
- Statistical Computing and Simulation
- Environmental Statistics
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Katherine McLaughlin
- Sampling Methods
- Social Network Analysis
- Network Sampling
- Respondent-Driven Sampling
- Social Science Applications of Statistics
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Lan Xue
- Nonparametric Curve Estimation
- Polynomial Spline Smoothing
- Model Selection
- Time Series Analysis
- Clustered/longitudinal Data Analysis