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I am a Professor of Statistics and Business Analytics at the University of Sydney Business School. I'm a Chief Investigator in the ARC Centre for Data Analytics for Resources and Environments (DARE) and was previously an investigator in the Australian Research Council's Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS). I'm also an executive member of the Sydney Vietnam Insitute.

I received a PhD in Statistics in 2012 from the National University of Singapore, a Master and a Bachelor in Mathematics from the Vietnam National University, Hanoi. Before joining the University of Sydney, I worked as a postdoctoral research fellow at the University of New South Wales.

My name Minh-Ngoc is pronounced as miŋ-ŋɔːk

Precisely speaking, I work part-time as a researcher and full-time as a babysitter. Here are my most two important publications EVER!

Address: Rm 446, Business School Building (H69), University of Sydney, NSW 2006, Australia

T +61 2 8627 4752 | F +61 2 9351 6409 | E <given name minh-ngoc> dot <surname>@sydney.edu.au

Want to learn about Variational Bayes with hands-on experience? Check out our accessible tutorial here .

Preprints/current works (2026+)

Kamélia Daudel, Minh-Ngoc Tran, Cheng Zhang. Importance Weighted Variational Inference without the Reparameterization Trick
Peiwen Jiang, Takuo Matsubara, Minh-Ngoc Tran. Bures-Wasserstein Importance-Weighted Evidence Lower Bound: Exposition and Applications
Van Chien Ta, Mai Hong Chu, Minh-Ngoc Tran. On the Convergence of Wasserstein Gradient Descent for Sampling
Chen Liu, Minh-Ngoc Tran, Chao Wang, Richard Gerlach, Robert Kohn. Data Scaling Effect of Deep Learning in Financial Time Series Forecasting
Hongwei Ma, Junbin Gao, Minh-Ngoc Tran. PREIG: Physics-informed and Reinforcement-driven Interpretable GRU for Commodity Demand Forecasting
Minh-Ngoc Tran, Paco Tseng and Robert Kohn. Particle Mean Field Variational Bayes

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