Sunmee Kim

Sunmee Kim is an Assistant Professor in the Department of Psychology at the University of Manitoba's Faculty of Arts. She obtained her BS in Statistics, BA in Psychology, and MS in Mathematical Statistics from Korea University, followed by a PhD in Quantitative Psychology & Modelling from McGill University (2020). Dr. Kim serves as a Research Affiliate at the Centre on Aging and Associate Chair of AKCSE-WiSE.

• PhD (Quantitative Psychology and Modeling), McGill University, 2020
• MS (Mathematical Statistics), Korea University, 2012
• BS (Statistics) & BA (Psychology), Korea University, 2010

Her research focuses on developing innovative statistical techniques for longitudinal data methods, knowledge-based dimension reduction, and multivariate prediction models. This includes extensions of Extended Redundancy Analysis (ERA) like GEE-ERA and ERA-Tree, as well as predictive model indices and applications in behavioral data science.

Dr. Kim collaborates with domain experts in Health, Sociology, and Space Systems using large-scale datasets (CLSA, HRS) for intersectionality in health research, immigrant health studies, and methodological best practices. Her work is supported by NSERC and University of Manitoba funding programs.

Scientific Awards

• 2024 - Early Achievement Award, AKCSE
• 2023 - WiSE Award, AKCSE
• 2023 - Invitation to 1st World Congress of Korean Scientists & Engineers
• 2022-2023 - Psychology Teaching Award Nominee
• 2022 - Invited International Scholar, Korea University BK21 Conference

She mentors through the International Young Woman Scientist Camp and organizes WiSE sessions at AKCSE conferences, representing Canadian EDI practices internationally.