I am a postdoc working with Hai Dang Dau at Nanyang Technological University. My research focuses on developing machine learning and statistical methods that are both easy to use and trustworthy. Some of my current research directions are:
Tabular foundation models. Transformers such as TabPFN predict well on tabular data without laborious model training or hyperparameter tuning. I study methods to calibrate their uncertainty estimates.
Bayesian methods. Statistical inference can be misleading when the assumptions about the data are wrong. I work on methods that are more reliable in that case, such as predictive Bayes inference.
Selected Publications
* denotes equal contribution
Tan, Y.S., Ng, K., Deng, R., Loganathan, S., Zhang,
Q., Chakraborty, B., 2026. PFN-TS: Thompson sampling for contextual
bandits via prior-data fitted networks. under review.
arXiv, code
Fortini, S.*, Ng, K.*, Petrone, S., Rousseau, J.,
Wei, S., 2026. Uncertainty decomposition for Bayes-filtered transformers
via Bayesian predictive inference. under review.
arXiv, code
Ng, K., Fong, E., Frazier, D.T., Knoblauch, J., Wei,
S., 2026. TabMGP: Martingale posterior with TabPFN. International
Conference on Machine Learning (ICML).
arXiv, code
Ng, K., Yu, W., Bondell, H.D., 2025.
Expectation-propagation for Bayesian empirical likelihood inference.
under review.
arXiv, code
Ng, K., van der Heide, C., Hodgkinson, L., Wei, S.,
2025. Temperature optimization for Bayesian deep learning.
Conference on Uncertainty in Artificial Intelligence
(UAI).
arXiv, code
Ng, K., Wei, S., 2025. Pathwise gradient variance
reduction with control variates in variational inference.
Australasian Joint Conference on Artificial Intelligence
(AJCAI).
arXiv
Ng, K., Turlach, B.A., Murray, K., 2019. A flexible
sequential Monte Carlo algorithm for parametric constrained regression.
Computational Statistics & Data Analysis.
arXiv
Contact
My email address starts with kenyon.ngwy and ends with ntu.edu.sg.
Education
PhD in Data Science (2022–2026)
University of Melbourne, then Monash University (from late 2024)
Fred
Knight Scholar. Moved to Monash with my primary advisor Susan Wei.
MPhil in Statistics (2017–2019)
The University of Western Australia
Dean’s List (top 5% of theses).
BSc (Honours) in Engineering & Mathematics
(2013–2017)
The University of Western Australia
Final-year GPA 7/7.
Work Experience
Data Scientist | Department of Primary Industries and
Regional Development, Western Australia (2019–2025)
Worked on agricultural experiment data. Part-time from 2022.
Tutor | The University of Western Australia
(2016–2022)
Taught experimental design and statistical machine learning.
Miscellaneous
- My surname, “Ng”, is pronounced like the ng in
sing, on its own. It is the Hokkien pronunciation of
黄, which means yellow in English.
- This website is inspired by this site.
- I led the development of a tool to predict cereal flowering dates in Western Australia.
- A higher-resolution version of my photo.
Last updated: 2 Nov 2026