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Kim, Sunmee
Assistant Professor, Psychology
Research Affiliate, Centre on Aging
Email: Sunmee.Kim@umanitoba.ca
Home Page:
https:/
Keywords
Keyword | Discipline |
---|---|
Computer Simulation/ |
Science/ |
Dimension Reduction |
Science/ |
heterogeneity |
Science/ |
High-dimensional Data |
Science/ |
interpretability |
Science/ |
machine learning |
Science/ |
Multivariate Analysis |
Science/ |
Optimization |
Science/ |
Quantitative methods and modeling |
Health/ |
Statistics |
Science/ |
structural equation modeling |
Behavioral/ |
Research Description
My interests are broadly related to the development of novel statistical techniques to alleviate the assumptions or restrictions of current quantitative methods in the fields of Psychology and Behavioral Data Science. I am particularly interested in component-based data reduction for regression problems, various methods for analyzing multiple correlated response variables, and the application of statistical and machine learning techniques to a variety of research questions in the social and behavioral sciences. I have explored various applications of these methods for studying substance use, rare genetic variants, Canadians’ political opinions, and changes in health status, psychological well-being, and cognitive faculties associated with aging. I am accepting graduate student applications for the PhD program in psychology for the Fall 2021 year. Experience in computer programming and/
Teaching Description
Fall 2020 - Winter 2021: [PSYC3200] Thinking Critically About Psychological Research (http:/
Languages (other than English)
Korean (South Korea) - Read, Write, Speak, Comprehend Aurally
Curriculum Vitae
CV_
Currently Recruiting Graduate Students
Potential graduate students should contact the appropriate Faculty.
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