Statistics

Research interests of the faculty include biostatistics, environmetrics, mathematical modelling of biological systems, computational statistics, data mining, machine learning, theory of statistical inference, asymptotics, multivariate analysis, robustness, nonparametrics, design of experiments, smoothing, Bayesian methods, computational molecular biology, gene expression, and microarrays.

Name Research Interests
Auger-Methe, Marie Animal movement; Polar ecology; Statistical Ecology; Animal movement, Polar ecology, Statistical Ecology
Bloem-Reddy, Benjamin developing methods for evolving networks whose history is unobserved; distributional limits of preferential attachment networks; uses of symmetry in statistics, computation, and machine learning; Developing methods for evolving networks whose history is unobserved, Distributional limits of preferential attachment networks, Uses of symmetry in statistics, computation, and machine learning
Bouchard-Cote, Alexandre machine/statistical learning; mathematical side of the subject as well as in applications in linguistics and biology
Campbell, Trevor automated, scalable Bayesian inference algorithms; Bayesian nonparametrics; streaming data; Bayesian theory; Probabilistic Inference; computational statistics; large-scale data; Automated, scalable Bayesian inference algorithms, Bayesian nonparametrics, Bayesian theory, Computational statistics, Large-scale data, Probabilistic inference, Streaming data
Chen, Jiahua empirical likelihood; finite mixture model; sample survey; asymptotic theory; imputation; Empirical likelihood, Finite mixture model, Sample survey, Asymptotic theory, imputation
Cohen Freue, Gabriela statistical genomics (focus in proteomics), robust estimation and inference, linear models with endogeneity
Gao, Lucy Statistics; Selective Inference; Inference x Unsupervised Learning; Statistics x Optimization
Gustafson, Paul meta-analysis; Parametric and Non-Parametric Inference; Theoretical Statistics; Pharmacoepidemiology; Bayesian statistical methods; Biostatistics and Epidemiology; Causal inference; Evidence synthesis; Partial Identification; Meta-Analysis, Parametric and Non-Parametric Inference, Theoretical Statistics, Pharmacoepidemiology, Bayesian statistical methods, Biostatistics and Epidemiology, Causal inference, Evidence synthesis, Partial Identification
Joe, Harry Sue Wah Statistics and Probabilities; copula construction; dependence modelling; extreme value inference; non-normal time series; parsimonous high-dimensional dependence; Statistics and Probabilities, Copula construction, Dependence modelling, Extreme value inference, Non-normal time series, Parsimonous high-dimensional dependence
Korthauer, Keegan Epigenomics; Single-cell analysis; Statistical genomics; Epigenomics, Single-cell analysis, Statistical genomics
McDonald, Daniel High dimensional data analysis; Computational methods in statistics; Statistical theory and modeling; Machine learning; Epidemiology (except nutritional and veterinary epidemiology); Methods and models for epidemiological forecasting; Estimation and quantification of prediction risk; Evaluating the predictive abilities of complex dependent data; Application of statistical learning techniques to time series prediction problems; Investigations of cross-validation and the bootstrap for risk estimation
Nolde, Natalia Statistics and Probabilities; Applications in finance, insurance, geosciences; Multivariate extreme value theory; Risk assessment; Statistics and Probabilities, Applications in finance, insurance, geosciences, Multivariate extreme value theory, Risk assessment
Park, Yongjin single-cell genomics; Computational Biology; Causal inference; Bayesian machine learning; single-cell genomics, computational biology, causal inference, Bayesian machine learning
Pleiss, Geoffrey Statistical theory and modeling; Machine learning; Computational methods in statistics; Spatial statistics; Numerical analysis; Machine Learning; neural networks; Gaussian processes; Bayesian optimization; reliable deep learning
Salibian-Barrera, Matias S-regression estimationg, robust statistics, functional principal component analysis, bootstrap estimators, rgam, clustering algorithm
Welch, William Computer experiments; Design and analysis of experiments; Statistical machine learning; Environmental modellign; Computer experiments, Design and analysis of experiments, Statistical machine learning, Environmental modellign
Wu, Lang Longitudinal data analysis, mixed effects models, missing data, hypothesis testing, biostatistics; Longitudinal data analysis, mixed effects models, missing data, hypothesis testing, biostatistics