Swen Kuh

Swen Kuh

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

My general training have been in Bayesian inference and methods in applications to the social sciences. My methodological training include multilevel regression and poststratification (MRP) method, Bayesian hierarchical (or multilevel/mixed) modelling, spatial modelling and causal inference while writing and coding up our own MCMC sampling methods. I also enjoy extracting insights from data and different ways of visualising the data and results.

  • Appointments
    Date Position Institution name
    2023 - ongoing Postdoctoral Research Fellow The University of Adelaide
    2021 - 2023 Research Fellow Monash University
    2018 - 2020 Teaching Assistant The Australian National University
    2017 - 2018 Magellan Student Engager Melba Copland Secondary School
    2016 - 2016 Consultant The Research Agency (NZ)

  • Language Competencies
    Language Competency
    Chinese (Cantonese) Can speak and understand spoken
    Chinese (Mandarin) Can read, write, speak and understand spoken
    English Can read, write, speak, understand spoken and peer review
    Malay Can read, write, speak and understand spoken

  • Education
    Date Institution name Country Title
    The Australian National University Australia PhD in Statistics
    The University of Auckland New Zealand Bachelor of Science with Honours in Statistics

  • Journals
    Year Citation
    2024 Kuh, S., Kennedy, L., Chen, Q., & Gelman, A. (2024). Using leave-one-out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale. Statistics in Medicine, 43(5), 953-982.
    DOI
    2022 Kuh, S., Kennedy, L., Chen, Q., & Gelman, A. (2022). Using leave-one-out cross-validation (LOO) in a multilevel regression
    and poststratification (MRP) workflow: A cautionary tale.
    2020 Kuh, S., Chiu, G. S., & Westveld, A. H. (2020). Latent Causal Socioeconomic Health Index.
    2019 Kuh, F. S., Chiu, G. S., & Westveld, A. H. (2019). Modeling National Latent Socioeconomic Health and Examination of Policy
    Effects via Causal Inference.

The grants that I've worked under are secured by my research supervisors. They include the IBISWorld Industrial Grant awarded to Prof. Grace Chiu and Dr. Anton Westveld, and currently my postdoctoral project is under the U.S. National Institutes of Health (NIH) grant in collaboration with Columbia University awarded to Prof. Andrew Gelman, Assoc. Prof. Qixuan Chen and Dr. Lauren Kennedy.

I have been involved with teaching and assisting with introductory statistics courses, regression modelling and applied statistics course at The Australian National University and Monash University. Most of the courses are taught in the programming language R and Microsoft Excel. Currently I'm co-lecturing the Data visualisation and analytics course at Monash University.

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External Profiles