Stats Faculty Regular

Associate Professor Mathematics

Stochastic nonlinear phenomena in biology and physics, especially problems from computational neuroscience and nonequilibrium statistical physics; Monte Carlo algorithms; numerical methods for stochastic differential equations; scientific computing.

Associate Professor, 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.

Assistant 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