About Me

I am a 3rd year PhD student in ProbaStat team of Département de Mathématiques d’Orsay and Parietal team of INRIA. My supervisors are Sylvain Arlot and Bertrand Thirion.

My current research interests are:

In particular, my works so far have been a blend of both the theoretical and algorithmic sides for the inference problem in high-dimension settings, which is of typical in modern (large-scale) datasets, e.g. genomics and brain-imaging.

I am also a firm believer in usage of open-source software and open science. Checkout the open-source projects that I have been developing/contributing to: Nilearn, Hidimstat.


Publications

(2020) T.-B. Nguyen, J.-A. Chevalier, B.Thirion, & S. Arlot, Aggregation of Multiple Knockoffs. To appear in Proceedings of the 37th International Conference on Machine Learning (ICML) [arXiv] [code]

(2019) T.-B. Nguyen, J.-A Chevalier, & B. Thirion, ECKO: Ensemble of Clustered Knockoffs for Robust Multivariate Inference on fMRI Data. In International Conference on Information Processing in Medical Imaging (pp. 454-466). Springer, Cham. [arXiv]


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Last update:10/08/2020