Dean, Graduate School of Arts and Sciences at Harvard University; 哈佛大学文理研究生院院长
Xiao-Li Meng, Dean of the Harvard University Graduate School of Arts and Sciences (GSAS), Whipple V. N. Jones Professor and former chair of Statistics at Harvard, is well known for his depth and breadth in research, his innovation and passion in pedagogy, and his vision and effectiveness in administration, as well as for his engaging and entertaining style as a speaker and writer. Meng has received numerous awards and honors for the more than 150 publications he has authored in at least a dozen theoretical and methodological areas, as well as in areas of pedagogy and professional development; he has delivered more than 400 research presentations and public speeches on these topics, and he is the author of “The XL-Files,” a regularly appearing column in the IMS (Institute of Mathematical Statistics) Bulletin. His interests range from the theoretical foundations of statistical inferences (e.g., the interplay among Bayesian, frequentist, and fiducial perspectives; quantify ignorance via invariance principles; multi-phase and multi-resolution inferences) to statistical methods and computation (e.g., posterior predictive p-value; EM algorithm; Markov chain Monte Carlo; bridge and path sampling) to applications in natural, social, and medical sciences and engineering (e.g., complex statistical modeling in astronomy and astrophysics, assessing disparity in mental health services, and quantifying statistical information in genetic studies). Meng received his BS in mathematics from Fudan University in 1982 and his PhD in statistics from Harvard in 1990. He was on the faculty of the University of Chicago from 1991 to 2001 before returning to Harvard as Professor of Statistics, where he was appointed department chair in 2004 and the Whipple V. N. Jones Professor in 2007. He was appointed GSAS Dean on August 15, 2012.
哈佛大学文理研究生院（GSAS）院长孟晓犁是Whipple V.N. Jones教授及哈佛前统计系主任。他以研究的深度和广度、教学中的创新精神和热情、行政视野和行动力，以及引人入胜且富有趣味的演讲者与作家的身份而闻名。孟教授在十余个理论、方法论、教育和职业发展领域发表了超过150篇出版物，获得了无数奖项和荣誉。他就相关研究进行了400多次研究汇报和公开演讲。他同时是国际数理统计学会（IMS）公报中常规栏目“XL-Files”的作者。孟教授的研究兴趣包括统计推论的理论基础（例如，贝叶斯相互作用、频率和基准观点；通过不变性原理量化无知；多阶段和多解析度推论），统计学方法和计算（例如，后验预测p值；EM算法；马尔科夫链蒙特卡洛算法；桥梁和路径取样），以及在自然科学、社会科学、医学与工程领域的应用（例如，天文和天体物理学中的复杂统计建模，精神健康服务差异评估，以及遗传学研究中的量化信息统计）。孟教授于1982年获得复旦大学数学学士学位，于1990年获哈佛大学统计学博士学位。1991年至2001年间，他在芝加哥大学任教，之后回到哈佛担任统计学教授，并于2004年被任命为统计系主任，2007年成为Whipple V.N. Jones教授。孟教授于2012年8月15日被任命为文理研究生院院长。