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


What Will Extreme Weather Events Mean for Texas’s Favorite Bugs?

The answer matters for people, too, given how insects affect whole ecosystems.

A photo of a monarch butterfly on a yellow flower


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.

A hand holding two white pills in the palm

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.

A dense field of galaxies set against a black background of space


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.

A white plume of exhaust spews from power plant smokestacks