Andrew Gelman is a prominent statistician and professor at Columbia University, known for his work in statistical modeling, political science, and social science research. He has contributed significantly to the fields of Bayesian statistics and hierarchical modeling, making complex statistical concepts more accessible to researchers and practitioners. In addition to his academic work, Gelman is an influential author and blogger, sharing insights on statistics, data analysis, and research methodology through his blog, Statistical Modeling, Causal Inference, and Social Science. His efforts aim to improve the understanding and application of statistics in various disciplines.