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Christiane Lemieux is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. Her research primarily focuses on quasi-Monte Carlo methods, exploring the deterministic version of the Monte Carlo method for multidimensional integration and simulation. She is particularly interested in constructing low-discrepancy point sets that are applicable in various computational problems. Recent research has delved into using dependence concepts to characterize these point sets, as well as constructing paradigms based on machine learning and digital base expansions using irrational numbers, such as the golden ratio. Lemieux has held administrative roles at the University of Waterloo, including interim department chair and associate dean for graduate studies and operations. She has developed a strong academic career, initially joining the Department of Mathematics and Statistics at the University of Calgary as an assistant professor in July 2000, transitioning to an associate professorship at Waterloo in July 2006, and attaining full professorship in July 2017.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.