MXB241 Probability and Stochastic Modelling 2
Queensland University of Technology, Australia
Teaching
Teaching
Teaching philosophy
True understanding is demonstrated by the ability to explain complex ideas in simple and accessible terms. Teaching is treated as a reciprocal and evolving learning process centred on clarity, simplicity, and active engagement. A central goal is to build confidence, critical thinking, and strong problem-solving skills rather than memorisation of redundant technical detail.
Teaching experience
07-11/2025
Introduction to Data Science (DATA7001)
The University of Queensland, Australia
Statistical analysis and document mining
Université Grenoble Alpes, France
Méthodes statistiques pour la biologie - STA301
Université Grenoble Alpes, France
Mathematical and numerical foundations of modelling and simulation using partial differential equations
French-Vietnam Master 2 in Applied Mathematics, VNU-HCM, Vietnam
Principles of Mathematical Analysis
VNU-HCM, Vietnam
Supervision
04/2026-09/2026 Research supervision and mentoring topic: Uncertainty Quantification and Scalable Methods for Large Language Models and Multimodal Data Fusion. Chief Investigator: Dr TrungTin Nguyen; Co-Investigators: Professor Chris Drovandi, Professor Richi Nayak, and Dr Md Abul Bashar; Research Assistant: Mr Thanh Long (Oliver) Vu; supported by DataSparks, QUT Centre for Data Science’s early-career researcher grant scheme.
2026- PhD thesis: Modèles génératifs frugaux multimodaux pour les données industrielles (Frugal multimodal generative models for industrial data). Associate supervisor with Professor Faïcel Chamroukhi, Université Paris-Saclay, France.
08/2025- PhD thesis: Robust Bayesian Inference for Differential Equation Models with Applications in Biology. Associate supervisor with Professor Christopher Drovandi, Queensland University of Technology, Australia.
07/2025- Research seminar and bachelor’s thesis: Adaptive Multivariate Density Estimation for Clustering with Gaussian Mixtures, VNU-HCM.
02-06/2025 Data Science Capstone Project 2B (DATA7903), academic supervision and assessment for 4 students, The University of Queensland.
09/2024- Master thesis: Model-Based Clustering with Variable Selection for Missing Data, VNU-HCM.
09/2024- Research seminar and bachelor’s thesis: Revisiting Model Selection and Parameter for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures, VNU-HCM.
09/2024- Research seminar and bachelor’s thesis: Model Selection in Mixture of Experts Models via Penalised Likelihood Approach, VNU-HCM.
09/2024- Research seminar and bachelor’s thesis: Revisiting and Empirical Validation of the Convergence Rates of Variational Posterior Distributions, VNU-HCM.
07-11/2024 Data Science Capstone Project 1 (DATA7901), academic supervision and assessment for 4 students, The University of Queensland.
Research mentoring
09/2024- Research supervision and mentoring topic: Model-Based Clustering with Variable Selection for Missing Data, Hanoi University of Science and Technology.
09/2024- Research supervision and mentoring topic: Model Selection in Mixture of Experts Models Using Dendrograms of Mixing Measures, Advanced Program in Computer Science Programming, VNU-HCM.
09/2024- Research supervision and mentoring topic: Model Selection in Mixture of Experts Models Using Dendrograms of Mixing Measures, Honors Program in Mathematics and Computer Science, VNU-HCM.
05/2024- Research supervision and mentoring topic: Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts, National University of Singapore.
05/2024- Research supervision and mentoring topic: A Globally Convergent Minorization-Maximization Algorithm for Gaussian Mixture of Experts Models, Vietnam National University-Ho Chi Minh City.