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The Chair of Biostatistics at EPFL focuses on developing new theory and methods for analyzing real-life data, with a strong emphasis on causal inference. The team's research aims to create transparent and scientifically testable methods for identifying causal parameters, particularly in longitudinal data structures. They apply their innovative methods to various fields, including clinical medicine, epidemiology, biology, psychology, economics, and engineering. The team's work extends to developing causal inference methodology for survival and event history analysis, supporting policy and decision-making in complex social settings, and understanding the social histories of causal inference thinking in statistics and clinical medicine.