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Liqun Diao is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, where he has been since July 2015. He earned his Ph.D. in Statistics with a specialization in Biostatistics from the University of Waterloo in 2013. Prior to that, he completed his M.Math in Statistics at the same institution in 2009 and received his B.Econ in Statistics from Renmin University of China in 2007. His research areas include the development and application of data-driven statistical methods and machine learning algorithms to enhance knowledge in fields such as medicine, public health, and insurance. He works across a wide range of topics, including recursive partitioning, causal inference, dependence modeling, Bayesian methods, and two-phase designs. Liqun has published various papers in prominent statistics journals, contributing significantly to the field, and is actively engaged in ongoing research related to adaptive designs and modeling techniques.
University of Waterloo • Waterloo, ON, Canada
Teaching and conducting research in statistics and actuarial science.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.