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Audrey Béliveau is an Associate Professor at the University of Waterloo in the Department of Statistics and Actuarial Science. She joined the university in 2018 after completing a two-year Post-Doctoral Fellowship at the University of British Columbia under the supervision of Paul Gustafson. She holds a Ph.D. in Statistics from Simon Fraser University (2016), a Master of Science in Statistics from Université de Montréal (2012), and a Bachelor of Science in Mathematics from the same institution (2010). Her research focuses on developing innovative statistical methodologies to address challenges in real-world applications, particularly in public health and ecology. Specific interest areas include animal population dynamics, homeless populations, methane emissions, Comparative Effectiveness Research (CER), and Health Technology Assessment (HTA). She has expertise across a range of statistical and biostatistical domains, including network meta-analysis, Bayesian modeling, survey sampling, and capture-recapture methods. Béliveau is also an active member and founder of WatMiM, the University of Waterloo's Methods Meta-Analysis research group.
University of Waterloo • Waterloo, Canada
Teaching and conducting research in the Department of Statistics and Actuarial Science.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.