Welcome! I am currently a postdoctoral researcher at the department of Data Science and AI at Monash University. Before going to Monash, I was a postdoctoral researcher in the PRaDA (Pattern Recognition and Data Analytics) center (now the Applied Artificial Intelligence Institute (A²I² ) at Deakin University.

I was a Ph.D. student in PRaDA center at Deakin University from 2013 to early 2017. I worked under the supervision of Professor Dinh Phung and Professor Svetha Venkatesh. My Ph.D. work focused on resorting big data to actionable information involves dealing with four dimensions of challenges in big data (called four V’s): volume, variety, velocity, veracity. In this research project, I sought for novel Bayesian nonparametric models and scalable learning algorithms which can deal with these challenges of the big data era. I also earned my B.Eng. and M.Eng. degrees in computer science in 2005 and 2009 respectively, all of which were completed at University of Technology, Vietnam.

Current Research Interests

• Developing large-scale learning algorithms for probabilistic graphical models with complex and large-scale data
• Applying optimal transport theory to understand challenging problems in machine learning and deep learning.
• Applying deep generative models for learning with probabilistic graphical models.

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