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.
- 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.
Vulnerable Neighborhoods Bore Brunt of Pandemic Well into its Second Year
A study in PLOS Computational Biology from University of Texas at Austin epidemiologists examined COVID infection and hospitalization rates by zip code.
Moving From Distressed Areas to Better-Resourced Neighborhoods Improves Kids’ Asthma
Roger Peng, a professor in the Department of Statistics and Data Sciences, contributed to a new study of childhood asthma in JAMA.
Care Experiences Are Worse in For-Profit Hospices Than in Not-for-Profit Hospices, Study Finds
Patients receiving care from for-profit hospices have substantially worse care experiences than patients who receive care from not-for-profit hospices, according to a new study from RAND Corporation and a University of Texas at Austin researcher.
Why Every Generation Needs to Care About Medicare
Policy decisions centered on the federal health insurance program can have a wide-ranging impact.
Health Benefits of Wind Power Rely on Which Fossil Fuel Plants It Replaces
Health benefits of using wind energy instead of fossil fuels could quadruple if the most polluting power plants are selected for dialing down, new study...
Seven Natural Sciences Faculty Receive NSF CAREER Awards
Learn about faculty members from UT Austin's College of Natural Sciences who have been awarded CAREER Awards from the National Science Foundation.
Layla Parast Aims to Improve Healthcare Using Biostatistics
Meet new statistics and data science professor, Layla Parast, whose work in biostatistics aims to improve medical treatments and trial outcomes.