At UT Austin, we train students to become full-stack researchers—navigating the idea generation, theoretical development, data creation, analysis, and refinement phase of projects across a wide range of subdisciplines. With the integration of cutting-edge technologies and conceptual frameworks, our students learn to manage and manipulate large datasets, deploy AI and statistical tools, and leverage powerful computational resources to form insights into pressing societal issues.

Graduate Students Advised

Kazuki Sakamoto, Ph.D. in Analytical Sociology, Linköping University, Sweden (2023-present)

Cindy Conlin, Master’s Student of Computational Social Science, Linköping University, Sweden (2023)

Members of Research Group

[Link for members] [Expression of Interest Form]

Andrés Cruz

Peter Dunphy

Nivedita (Nivy) Jhunjhunwala

Siyun Jiang

Huimin Li

Miranda Sullivan

Kyle Trojahn

Daisy Ward

Graduate Student Projects

The graduate students at UT Austin are incredibly talented. Below you can find links to some of their projects:

[Methods Camp Website] (by Andrés Cruz & Matthew Martin)


[Office Hours Signup]

[Patrick Winston’s How to Speak]

[Style: Lessons in Clarity and Grace]

[Terence Tao Teaches Mathematical Thinking]