Samuel Shen is a McCalla Professor of Mathematical and Statistical Sciences and Vice-President of the Canadian Mathematical Society. He received his B.Sc. in 1982, majoring in Mechanical Engineering and Mechanics, from the Nanjing University of Sciences and Technology, and his M.A. and Ph.D. from the University of Wisconsin-Madison in 1985 and 1987, respectively, in the area of Applied Mathematics. Sam Shen’s research area is statistical climatology. Together with Gerald North and K.-Y. Kim, he invented the spectral optimal averaging (SOA) method for inhomogeneous random fields in 1994. This method was used in 2001 by the World Meteorological Organization to assess the uncertainties in the assessment of global warming. Collaborating with K.M. Lau and K.M. Kim in 2002, he developed the canonical ensemble correlation (CEC) method for seasonal prediction of climate. He was recognized with many international honors and awards, including US National Research Council Fellow, NASA USRA Speaker, US UCAR Fellow, Research Fellow of the University of Tokyo, “Well-known Overseas Chinese Scholar” of the Chinese Academy of Sciences, and “Overseas Assessor” of the Chinese Academy of Sciences. Sam Shen has published over 60 research papers and three books.