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

Nicolas De Pieuchon, Ph.D. in Data Science and AI, Chalmers University of Technology, Sweden (2024-present)

Kazuki Sakamoto, Ph.D. in Analytical Sociology, Linköping University, Sweden (2024-present)

Mikael Gustafsson, Master’s Student of Computational Social Science, Linköping University, Sweden (2024)

Cindy Conlin, Master’s Student of Computational Social Science, Linköping University, Sweden (2023-2024)

Graduate Student Co-authors

Ritwik Vashistha, Ph.D. student in the Department of Statistics and Data Science, UT Austin

Committee Member for Graduate Students

Angela Ting, Ph.D. in Statistics & Data Science, UT Austin (2023-present)

Members of Research Group

[More information] [Thanks]
[Link for members] [Expression of interest form]

Andrés Cruz

Peter Dunphy

Krishna C Hariprasad

Nivedita (Nivy) Jhunjhunwala

Siyun Jiang (now an Assistant Professor at IE University)

Eric (Young Seok) Kim

Huimin Li

Jenna Salzman

Miranda Sullivan

Kyle Trojahn

Daisy Ward

Graduate Student Projects

The graduate students who are or have been on our team are incredibly talented. Below, you can find links to some of their projects:

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

[6 Years a Statistician] (by Ritwik Vashistha)


[Patrick Winston’s How to Speak]

[Style: Lessons in Clarity and Grace]

[Terence Tao Teaches Mathematical Thinking]

See syllabi for information about office hours (or email

Back to Home