Juraj Bodik
email jbodik [at] stanford.edu
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My nickname is Juro (pronounced like ‘€’), and I am a Stein Fellow in the Department of Statistics at Stanford University.

My research is rooted in mathematical statistics, with a focus on causal inference and its connections to probability theory and machine learning. Broadly, I am interested in how we can learn about quantities and mechanisms that are not directly observed: counterfactual outcomes, causal relations, and rare or extreme events. My current work focuses on the identifiability of causal relations from observational data and on developing methods for causal discovery, where the goal is to recover aspects of the underlying causal structure directly from data. I also work at the intersection of causal inference with uncertainty quantification, extreme value theory, and time series analysis.

I completed my Ph.D. at the University of Lausanne in Switzerland, where I was supervised by Prof. Valérie Chavez-Demoulin. I have been fortunate to collaborate with researchers across several institutions, including Prof. Bin Yu at UC Berkeley, where I spent six months as a visiting researcher in 2024, and Prof. Shohei Shimizu at Osaka University, which I visited in 2025–26. I have also collaborated with researchers at Stanford and the University of Geneva.

I was born in Slovakia and completed my bachelor’s and master’s degrees in pure mathematics at Charles University in Prague. During my studies, I competed in and helped organize several international mathematical problem-solving competitions. Outside mathematics, I represented the Slovak national team at the World Junior Ultimate Championships in ultimate frisbee.

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Last page update: August 2026.