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
Increased Use of Paxlovid Could Cut Hospitalizations, Deaths and Costs
Epidemiologists found that treating even 20% of symptomatic cases would save lives and improve public health.
UT News
UT Austin’s Top Research Stories of 2023
From a brain decoder to a supermassive black hole to a cancer drug advance, College of Natural Sciences researchers made breakthroughs this year.
Coal Power Killed Half a Million People in U.S. over Two Decades
Deaths from coal were highest in 1999, but by 2020 decreased by about 95%, as coal plants have installed scrubbers or shut down.
AI Tech Accurately Diagnoses Knee Arthritis from Medical Images
Vagheesh Narasimhan and Prakash Jayakumar trained an AI on x-ray images from tens of thousands of people in the UK Biobank.
Five Lessons from UT Austin Science about Planning for Living with Heat
In our endless summer, research on heat impacts offers insights on how best to adapt.