Mu ZHU is a Professor of statistics at the University of Waterloo (Waterloo, ON, Canada), currently serving as the interim Director of Data Science for 2017-18. A Phi Beta Kappa graduate of Harvard University (Cambridge, MA, USA), he has a PhD in statistics from Stanford University (Stanford, CA, USA).
      Since joining Waterloo in 2001, Mu has worked on problems in multivariate analysis, machine learning, healthcare informatics, bioinformatics, and data mining. In 2011, his research received a Discovery Accelerator Supplement Award from the Natural Sciences and Engineering Research Council (NSERC) of Canada. From 2012 to 2013, he served as President of the Business and Industrial Statistics Section (BISS) in the Statistical Society of Canada. From 2014 to 2015, he served as Associate Chair – Graduate Studies in his home department, Statistics & Actuarial Science, at Waterloo. In 2015, he co-taught a graduate course on "Big Data" at the Fields Institute with Professor Nancy Reid.
      Born in China, educated in the United States, and a Canadian citizen, Mu is married and lives with his wife and two children outside of Waterloo. He is a member of the Conservative Party of Canada.

Newspaper Column

Ottawa Citizen, September 8, 2016, p. A8.

Feature Publications

Xin L, Zhu M, Chipman HA (2017), "A continuous-time stochastic block model for basketball networks," The Annals of Applied Statistics, vol. 11, pp. 553 - 597.

Zhu M (2015), "Use of majority votes in statistical learning," Wiley Interdisciplinary Reviews: Computational Statistics, vol. 7, pp. 357 - 371.

Su W, Yuan Y, Zhu M (2015), "A relationship between the average precision and the area under the ROC curve," in Proceedings of the ACM SIGIR 2015 International Conference on the Theory of Information Retrieval, pp. 349 - 352.

Zhu M (2014), "Making personalized recommendations in e-commerce," in Statistics in Action: A Canadian Outlook, J. F. Lawless, Ed., Chapman & Hall, pp. 259 - 268.

Zhu M (2008), "Kernels and ensembles: Perspectives on statistical learning," The American Statistician, vol. 62, pp. 97 - 109.

Zhu M (2004), "On the forward and backward algorithms of projection pursuit," The Annals of Statistics, vol. 32, pp. 233 - 244.