Xiao-Li Meng

Xiao-Li Meng's approach blends rigorous analysis with practical applications in the field of statistics, making him a prominent figure in the academic community. As the Dean of the Harvard University Graduate School of Arts and Sciences and the Whipple V. N. Jones Professor of Statistics at Harvard, Meng has significantly contributed to the advancement of statistical science. His research interests encompass a wide array of topics, including applications in natural and medical sciences, statistical inferences, and the theoretical foundations of statistical methods and computation. Meng's esteemed research has earned him numerous accolades, notably being recognized as one of the top 40 statisticians under the Committee of Presidents of Statistical Societies (COPSS). His prolific career includes authoring over 120 publications and delivering more than 400 presentations worldwide. Additionally, Meng has penned a thought-provoking column that has influenced both academic and professional circles. Before his tenure at Harvard, Meng was a faculty member at the University of Chicago, where he honed his teaching and research skills. His leadership capabilities were further demonstrated when he chaired Harvard's Department of Statistics, a role that paved the way for his current position as Dean. Meng's expertise spans theoretical statistical inferences and their applications across various scientific disciplines, reflecting his commitment to bridging the gap between theory and practice. Meng's work is characterized by a deep understanding of the complexities of statistical methods and their implications in real-world scenarios. His contributions have not only advanced the field of statistics but have also provided valuable insights into the application of statistical techniques in solving complex problems in the natural and social sciences. Throughout his career, Meng has been dedicated to fostering a collaborative and innovative research environment, encouraging the next generation of statisticians to explore new frontiers in the discipline. His leadership at Harvard continues to inspire students and colleagues alike, as he remains at the forefront of statistical research and education.