Stats Faculty Regular

Member of Executive Committee

Assistant Professor, Mathematics

New methodology for spatio-temporal applications in ecology and environmental sciences. Approximate statistical inference for large data sets and/or complex models. My students and I make up the Toyon Statistical Lab (https://toyonstatlab.github.io/).

Professor, School of Mind, Brain and Behavior

Machine learning; Mathematical modeling of geometric form; Multi-modal data; Statistical applications in computer vision.

Associate Professor Agricultural-Resource Economics

Production Economics, Econometrics, Agricultural Policy

Member of Executive Committee

Associate Professor, Epidemiology and Biostatistics

Medical Imaging, Nonparamatric Modelling, Computational Biology

Professor of Communications

Applied statistics in the social sciences; Hypothesis testing; Moderator and mediator effects.

Assistant Professor Medicine

Biomedical big data science, Translational bioinformatics, bioinformatics, clinical informatics.

Professor of Natural Resources

Quantitative ecology; Dynamics of animal populations; Conservation biology.

Professor, Mathematics

Probability and stochastic processes. Bayesian stick-breaking and applications. Models in statistical physics.

Member of Executive Committee

Assistant Professor, Mathematics

high dimensional Bayesian inference, latent variable models, small area estimation, psychometrics

Chair, Statistics GIDP

Professor, Mathematics

Nonparametric smoothing; Model selection; Data Mining; Statistical applications in biosciences and biomedicine.