معرفی
Xiao-Li Meng is the Whipple V. N. Jones Professor of Statistics at Harvard University and Founding Editor-in-Chief of the Harvard Data Science Review. He has held leadership roles including Chair of Harvard's Department of Statistics (2004-2012) and Dean of the Graduate School of Arts and Sciences (2012-2017). A globally recognized statistician, he was awarded the COPSS President’s Award (2001) as the best statistician under 40. His research spans foundational statistical theory, computational methods (e.g., EM algorithm, MCMC), and interdisciplinary applications in astronomy, public health, and engineering. Meng earned his BS in Mathematics from Fudan University (1982) and PhD in Statistics from Harvard (1990), with a faculty tenure at the University of Chicago before returning to Harvard in 2001.
His work emphasizes bridging theoretical and applied statistics, with notable contributions to Bayesian inference, differential privacy, and astrostatistics. He authored the influential column The XL-Files in the IMS Bulletin, blending technical insight with accessible commentary. Meng advocates for data science education and ethical AI, emphasizing collaboration across disciplines and societal sectors. His leadership has shaped Harvard’s graduate programs and data science initiatives, while his over 150 publications and 400+ presentations reflect a prolific career at the intersection of academia and public impact.
Awardees include the IMS Fellowship, ASA Founders Award, and NSF CAREER Award. His current projects explore generative AI ethics, data democratization, and statistical paradigms in big data environments. Meng’s vision prioritizes ‘conducting principled data science’ through rigorous methodological development and societal accountability.
