Stats Faculty Regular

Assistant Professor, Computer Science

Machine Learning, learning theory.

Professor, Molecular and Cellular Biology

Computational biology, with focus on inferring history and natural selection from population genomic data

Member of Executive Committee

Associate Professor, Epidemiology & Biostatistics

High dimensional data; Machine learning; Change point detection

Dr. Lin has worked extensively on statistical methods for meta-analysis, network meta-analysis of multiple-treatment comparisons, publication bias, and Bayesian methods. He is also interested in the applications of statistical methods to real-world probs

Research Assistant Professor

Latent variable modeling; Measurement of change; Item response theory; Health outcomes research; Statistical consulting.

Associate Professor, Systems and Industrial Engineering

Optimization under Uncertainty, Conic Optimization, and their applications

Professor, Mathematics

Professor, Epidemiology and Biostatistics

Research study design; Longitudinal data analysis; Risk assessment.

Professor, Epidemiology and Biostatistics

Measurement and normalization, Quantitative proteomics, Statistical methods for compositional data.

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.