Peter Bühlmann

Peter Bühlmann is a professor of statistics at ETH Zurich. His research connects high-dimensional statistics, machine learning and causal inference, with particular attention to methods that remain reliable across heterogeneous data. His publications include work on variable selection with the lasso, non-parametric imputation and statistics for high-dimensional data. ETH’s 2026 coverage recognises his statistical research, making him a relevant scientific voice on the assumptions, robustness and interpretability underlying modern data analysis.

From Heterogeneous Data to Reliable Causal Insight

Causal inference and robust data analysis