Stats Faculty Regular

Professor, Educational Psychology, College of Education

Measurement and educational assessment; Item response and generalizability theory; Value-added models; Random effects models.

Assistant Professor Computer Science

Machine Learning

Professor, College of Public Health

High-dimensional data; Survival analysis; Longitudinal data; Missing data; Measurement error.

Professor, College of Public Health

Survival analysis; Missing data; Statistical modeling.

Associate Professor, Computer Science

Statistical machine learning, probabilistic graphical models, approximate inference algorithms, and information-theoretic decision making

Associate Professor, Systems and Industrial Engineering

Methodologies in Optimization; Applied Operations Research; Data Mining and Machine Learning

Assistant Professor, Systems and Industrial Engineering

Methodologies in Optimization: Saddle point problems, Distributed Optimization, Bilevel Optimization.Applications: Machine Learning, Data Science, Artificial Intelligence

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