The Casual Causal Group at UC Berkeley works on causal inference problems motivated by a wide range of applications, including clinical trials, epidemiology, public policy, and many others. This includes research on theory and methods for causal inference such as robust statistics, semiparametric theory, and randomization inference, as well as domain-specific applied work. Our faculty and students, primarily based in the Statistics Department, also maintain strong connections with other departments such as EECS, Biostatistics, Political Science, and Public Policy.
News
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February 06, 2025
Andy and Sam’s paper on sensitivity analysis for causal decompositions is published in Statistics in Medicine!
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January 06, 2025
Andy and Sam’s paper on sensitivity analysis for causal decompositions received student paper awards for the 2025 International Conference on Health Policy Statistics and the 2025 Joint Statistical Meetings.
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October 11, 2024
We have launched our group website!
People
Faculty
Visiting Faculty
Postdocs
Graduate Students
Visiting Students
Alumni
Mingrui Zhang
PhD, 2025. Now a Senior Statistician at BeiGene.
Eaman Jahani
Postdoc, 2022-2024. Now an Assistant Professor at Maryland.
Lauren Liao
PhD, 2024. Now a Biostatistician at Kaiser Permanente.
Benji Lu
PhD, 2024. Now an Assistant Professor at University of San Diego Law.
Melody Huang
PhD, 2023. Now an Assistant Professor at Yale.
Miyabi Ishihara
PhD, 2023. Now a Lecturer at the University of Pennsylvania.
Dennis Shen
Postdoc, 2021-2023. Now an Assistant Professor at USC.
Dan Soriano
PhD, 2023. Now a Data Scientist at LinkedIn.
Ruoqi Yu
Postdoc, 2021-2022. Now an Assistant Professor at UIUC.
Shichao Han
BA 2020, MA 2022. Now a Research Data Scientist at Tencent.
Eli Ben-Michael
PhD, 2020. Now an Assistant Professor at Carnegie Mellon.
Lihua Lei
PhD, 2019. Now an Assistant Professor at Stanford.
Past Visitors
Juraj Bodik
Visited Fall 2024.
Oscar Clivio
Visited Spring 2024.