In the fall semester of 2018, Professor Donald B. Rubin, an internationally well-known statistician opened a graduate course entitled “The Design of Experiments” at Tsinghua.
“The Design of Experiments” is a basic subject of statistics and has a wide range of applications. The course is mainly taught by professor Rubin himself, and overseas scholars of related majors are also invited to participate through seminars and special reports, so that students can experience the research frontier in the field of statistics while learning basic knowledge.
Professor Rubin joins Yau Mathematical Sciences Center, Tsinghua University from Harvard University, where he was the John L. Loeb Professor of Statistics. He has served on Harvard’s faculty as full professor of Statistics since 1983, chairing its Department of Statistics for 13 of those years. He is most well-known for the Rubin Causal Model, a set of methods designed for causal inference with observational data, and for his methods for dealing with missing data. As a statistician, his research focuses on the design of empirical studies, including surveys and experiments, and the analysis of data from such studies. As of 2017, he has authored/coauthored over 400 publications (including ten books), has four joint patents, and for many years has been one of the most highly cited authors in the world, with currently over 200,000 citations and nearly 20,000 in 2016 alone (Google Scholar).
Yau Mathematical Sciences Center (YMSC) of the Tsinghua University was established in December 2009. Professor Shing-Tung Yau, Director of YMSC, is one of the most famous mathematical scientists in the world, being honored by numerous prestigious prizes and awards, such as Fields Medal, Crafoord Prize, Wolf Prize, and Marcel Grossman Award. YMSC is devoted to studying international frontier subjects, promoting academic communication of mathematical conceptions and achievements, and improving the level of mathematics research and teaching in China.
