Hello and welcome! My Vietnamese name is Nguyễn Trung Tín. I therefore used “TrungTin Nguyen” or “Trung Tin Nguyen” in my English publications. The first name is also “Tín” or “Tin” for short.
I am currently a Postdoctoral Fellow at the
Inria centre at the University Grenoble Alpes in the
Statify team, where I am very fortunate to be mentored by
Florence Forbes,
Hien Duy Nguyen, and
Julyan Arbel.
I completed my Ph.D. Degree in Statistics and Data Science at
Normandie Univ in December 2021, where I am grateful to have been advised by
Faicel Chamroukhi. During my Ph.D. research, I am also very fortunate to collaborate with
Geoff McLachlan, focusing on mixture models. I received a Visiting PhD Fellowship for 4 months at the
Inria centre at the University Grenoble Alpes in the
Statify team within a project
LANDER.
A central theme of my research is data science, at the intersection of, at the interface of:
 Statistical learning: Model selection (minimal penalties and slope heuristics, nonasymptotic oracle inequalities), simulationbased inference (approximate Bayesian computation, Bayesian synthetic likelihood, method of moments), Bayesian nonparametrics (Gibbstype priors, Dirichlet process mixture), highdimensional statistics (variable selection via Lasso and penalization, graphical models).
 Machine learning: Supervised learning (deep hierarchical mixture of experts (DMoE), deep neural networks), unsupervised learning (clustering via mixture models, dimensionality reduction via principal component analysis, deep generative models via variational autoencoders, generative adversarial networks and normalizing flows), reinforcement learning (partially observable Markov decision process).
 Optimization: Robust and effective optimization algorithms for mixture models (expectation–maximization, variational Bayesian expectation–maximization, Markov chain Monte Carlo methods), difference of convex algorithm, optimal transport (Wasserstein distance, voronoi loss function).
 Applications: Natural language processing (large language model), remote sensing (planetary science, e.g., retrieval of Mars surface physical properties from hyperspectral images), audio processing (sound source localization), biostatistics (genomics, transcriptomics, proteomics).
Interests
 Data Science
 Statistics
 Artificial Intelligence
Education

Ph.D. in Statistics and Data Science, 20182021
Université de Caen Normandie, France

M.S. in Applied Mathematics, 20172018
Université d'Orléans, France

B.S. Honors Program in Mathematics and Computer Science, 20132017
Vietnam National UniversityHo Chi Minh Univeristy of Science, Vietnam