I am currently working as a lecturer at Institute of Technology of Cambodia (ITC).

I did my postdoctoral research in IMPT project on improving parameterizations of gravity wave momentum fluxes in climate models, using statistical and machine learning methods, under supervision of Aurélie Fischer (LPSM - Université Paris Cité) and Riwal Plougonven (LMD/IPSL - École Polytechnique). I was also in the Datawave project.

I did my Ph.D. in Applied Mathematics at UPMC - Sorbonne Université. During my thesis, I also worked as a teaching assistant at UFR mathematics of Université Paris Cité (Paris 7).

Here is my Ph.D. Thesis and Slides.

Research interests

My Ph.D. research focuses on consensual aggregation techniques for combining a given number (small or large) of predictors in supervised machine learning problems. Moreover, I also explored the combination of supervised and unsupervised machine learning methods for prediction.

My postdoctoral research focuses on using ML methods to reconstruct balloon-observed gravity wave momentum fluxes from the large-scale flow variables of ERA5 dataset.

I am interested in the following topics:

• Combination of unsupervised and supervised machine learning methods, ensemble learning, clustering and aggregation methods.
• Deep learning, neural networks, artificial intelligence, online learning, big data…