I received my PhD in Statistics from the University of Waterloo in 2007 and both my M.Sc. in Statistics and B.Sc. in Applied Mathematics from Tianjin University in 1999 and 2002 respectively.
Prior to joining Laurier, I was a postdoctoral fellow in the Department of Statistics and Actuarial Science at the University of Waterloo (2007-2009), and spent seven years (2009-2016) as an tenure-track assistant professor later tenured associate professor in the Department of Mathematics, Statistics and Computer Science at St. Francis Xavier University (Nova Scotia, Canada).
I view being an active researcher is an important factor of a professor. Keeping up with the newest techniques in my field benefits not only myself, but also my research students, who can see their research is meaningful in reality. My research mainly focuses on developing statistical learning and data mining tools to identify drug candidates and to apply those tools in health related areas. Recently I have extended my research in health to economics, business and finance. As statistics is interdisciplinary, it is natural and predominate that a statistician works closely with the researchers from other disciplines. Some of the current projects I am working on are listed below:
I have research assistantship opportunities for undergraduate and graduate students interested in developing statistical learning and data mining techniques.
I am willing to supervise graduate students in the areas of statistical learning, data mining and deep learning.
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