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.

Research News