Michael E. Sobel

Dr. Michael E. Sobel is a Professor of Statistics at Columbia University, specializing in causal inference. His research encompasses various aspects of this field, including mediation, interference, longitudinal causal inference using fixed effects models, meta-analysis, compliance, and causal inference in fMRI experiments, which involve analyzing extensive time series data collected under different experimental conditions. In addition to advancing his work in fMRI, Dr. Sobel is investigating interference in observational studies and developing new estimands for broader counterfactual inference. He has published numerous influential papers and is recognized for his contributions to statistical methodologies that enhance the understanding of causal relationships across diverse contexts.