David A. V. M. van der Laan

David A. V. M. van der Laan is a mathematician known for developing innovative methods in statistics, particularly in the field of causal inference. He created techniques for making accurate predictions and understanding how different factors influence outcomes, even in complex data scenarios. His work helps researchers and analysts better estimate the effects of interventions, such as medical treatments or policy changes, by accounting for various confounding factors. Van der Laan's contributions improve the reliability of conclusions drawn from observational data, making his work valuable across healthcare, social sciences, and data science.