Heungsun Hwang
Professor
Department of Psychology
McGill University
Canada
Biography
Prof. Hwang’s research program is generally devoted to the development and application of quantitative methods to address diverse issues in psychology and various other fields. His recent interests include the development of data integration tools for high-dimensional data collected from multiple sources; the development of a statistical methodology for investigating associations among genetic, brain, and behavioural/cognitive phenotypes; and the development and application of predictive models or machine learning algorithms for predicting behavioural and cognitive outcomes using genetic, physiological, and psychological data.
Research Interest
Quantitative & Modelling
Publications
-
Hwang, H., & Takane, Y. (2014). Generalized structured component analysis: A component-based approach to structural equation modeling. Boca Raton, FL: Chapman & Hall/CRC Press.
-
Romdhani, H., Hwang, H., Paradis, G., Roy-Gagnon, M.-H., & Labbe, A. (2015). Pathway-based association study of multiple candidate genes and multiple traits using structural equation models. Genetic Epidemiology, 39, 101-113.
-
Lee, S., Choi, S., Kim, Y. J., Kim, B.-J., T2D-Genes Consortium, Hwang, H., & Park, T. (2016). Pathway-based approach using hierarchical components of collapsed rare variants. Bioinformatics, 32, i586-i594.
