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

Features

Preparing for Future Outbreaks, Experts Use Disease Simulation Exercise

Public health officials and researchers gathered this month for a gamified version of an outbreak investigation.

Two men at a table in a conference room setting peer down at pieces of a game, with network details and information sheets.

UT Bridging Barriers

Shaping AI for Social Good with Arya Farahi

The assistant professor and director for the D3 (Data, Discovery, Decision) Lab spoke about ethical innovation with Good Systems, alongside other researchers and partners.

Arya Farahi Google Award 2021

Research

Newly Discovered Antimicrobial Could Prevent or Treat Cholera

Natural antimicrobials called microcins are produced by bacteria in the gut and show promise in fighting infection.

There are two images side-by-side. In the image on the left, a dark ring separates a blue disk in the middle from a field of grey surrounding the disk. The image on the right is similar, except there is no dark ring.

Research

AI Opens Door to Safe, Effective New Antibiotics to Combat Resistant Bacteria

Protein large language models identify ways to make antibiotics better at targeting dangerous bacteria, without being toxic to humans.

A green bacteria-shaped object with a red arrow piercing through its center. The bacteria is surrounded by concentric circles and smaller, blue, bacteria-like shapes. The background is a light blue grid with a pattern of binary code.

Features

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