Our Research

Our researchers develop novel statistics and machine learning methods to accelerate scientific discovery.

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


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.

Two x-rays of knees


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.

CNS Scientists have been applying their research in ways that will help communities respond to heat.


Genes That Shape Bones Identified, Offering Clues About Our Past and Future

An application of AI to medical imaging datasets has revealed genetics of the skeletal form for the first time.

Image of human skeleton imposed over DNA double helix


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.

A map of Travis County shows different Zip codes in different colors against a grid. Lines intersect higher and lower income areas.

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.

A family carries boxes into their new home


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.

Two people hold hands, one wears blue doctor's scrubs.


Why Every Generation Needs to Care About Medicare

Policy decisions centered on the federal health insurance program can have a wide-ranging impact.

USNews and World Report Logo


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...

A row of wind turbines in the setting sun


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.

Headshots of 7 faculty members


Can Dogs Take Bite Out of Neighborhood Crime?

Medium yellow lag holding an unhooked leash in its mouth