Michael Y.C. Chong, PhD
- Statistician, Demographer, Scientist
- myc.chong@mail.utoronto.ca
Hi! I’m an applied statistician interested in demography and population health, broadly defined. I recently finished my PhD in the Department of Statistical Sciences at the University of Toronto, advised by Monica Alexander. I worked on developing Bayesian methods for global health estimation problems where data is scarce and unreliable.
Before coming to Toronto, I completed my undergraduate studies in Integrated Science at McMaster University.
I’m on the job market! I’m open to chatting about any kind of applied statistics and data science-y roles. Please get in touch if you think our interests might align.
Before coming to Toronto, I completed my undergraduate studies in Integrated Science at McMaster University.
I’m on the job market! I’m open to chatting about any kind of applied statistics and data science-y roles. Please get in touch if you think our interests might align.
Academic Work
Select Papers
-
Global and regional causes of maternal deaths 2009–20: a WHO systematic analysis
2025, The Lancet Global Health [link] J.A. Cresswell, M. Alexander., MC, et al. -
Correcting historical mortality rate bias in big crowd-sourced online genealogies
Updated 2024, MPIDR working paper [link] MC, D. Alburez-Gutierrez, M. Alexander, and E. Zagheni -
Estimating the timing of stillbirths in countries worldwide using a Bayesian hierarchical penalized splines regression model
2024, Journal of the Royal Statistical Society Series C [link] MC, M. Alexander -
Estimating causes of maternal death in data-sparse contexts
2024, Statistics in Medicine [link] MC, M. Pejchinovska, M. Alexander
Other
- DoSS Toolkit 2021 [preprint] R. Alexander, S. Caetano, et al. A free collection of student-written lessons for learning R.
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High thoroughput Bayesian modelling workflow
Presented Nov. 2020 at Toronto Data Workshop
Misc.
- iSci Sib Genealogy Project (2017 - ongoing) with data from the iSci Society A directory of the Big Sib network of the Integrated Science program at McMaster University.
- Exploring the Kolakoski Sequence (2017) with A. Basinski A website demonstrating the construction of the Kolakoski sequence and a related open problem.