Our Research

Discoveries in our department, based on inferences and decisions from the data all around us, deliver research advances with a real-world impact in health care, finance, public life, technology and science.

Research Strengths

Algorithmic Fairness
Bayesian Statistics
Causal Inference
Longitudinal Analysis
Monte Carlo and MCMC Methods
Network Analysis
Nonparametric Methods
Spatial and Spatio-Temporal Statistics
Statistical/Machine Learning
Time-Series Analysis

Centers, Institutes and Initiatives

Statistics and Data Sciences researchers participate in interdisciplinary efforts across campus to advance insights in areas such as machine learning, epidemiology and population research.

Center for Health & Environment: Education and Research (CHEER) is a hub for multidisciplinary environmental health sciences research and education, bringing together experts from across UT Austin.
Good Systems is working to establish a framework for evaluating, developing, implementing and regulating AI-based technologies so they reflect human values. It is a UT Austin Grand Challenge and part of its Bridging Barriers initiative.
Hobby-Eberly Telescope Dark Energy Experiment (HETDEX) represents a major UT Austin-led research initiative with TACC, the McDonald Observatory and faculty experts from across astronomy, physics, statistics and data sciences and more.
Machine Learning Laboratory includes computer scientists, engineers, data scientists, statisticians and mathematicians from across campus and serves as the academic home for the NSF-funded Institute for Foundations of Machine Learning.
Population Research Center includes researchers from across campus in areas such as demography; education, work and inequality; and population and reproductive health.
Texas Advanced Computing Center (TACC) is home to the world's most powerful university supercomputer.