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


Why Every Generation Needs to Care About Medicare

February 1, 2023 by Layla Parast

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

December 5, 2022 by Staff Writer

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


Can Dogs Take Bite Out of Neighborhood Crime?

July 28, 2022 by Esther R Robards-Forbes

Medium yellow lag holding an unhooked leash in its mouth


Layla Parast Aims to Improve Healthcare Using Biostatistics

April 5, 2022 by the Department of Statistics and Data Sciences

Layla Parast


Demand for Abortion-inducing Medication Increases After Texas SB8

February 25, 2022 by the Department of Statistics and Data Sciences

Paper bags containing medication used for a medical abortion


Jared Murray Receives NSF CAREER Award

January 5, 2022 by the Department of Statistics and Data Sciences

Faulty - Jared Murray


Antonio Linero Given NSF CAREER Award

January 3, 2022 by the Department of Statistics and Data Sciences

Antonio Linero


Arya Farahi receives Google Award for Inclusion Research

November 3, 2021 by the Department of Statistics and Data Sciences

Arya Farahi