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Samuel W.K. Wong is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, where he teaches and conducts research. He completed his Ph.D. at Harvard University in 2013, specializing in statistics. His current research interests encompass developing methodologies to tackle data science problems, with a focus on inference in dynamic systems, protein structure analysis, modeling reliability, and the quality of wood-based products. Wong actively engages with the academic community, contributing to advancements in statistical methodologies. He is committed to education and aims to cultivate a deeper understanding of statistical principles among his students. For more information about his research and publications, please refer to his personal webpage where he also shares insights from his TEDx talk, which provides a gentle introduction to his work.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.