I am a third year PhD student in Proba-Stat team of Département de Mathématiques d’Orsay and Parietal team of INRIA. I am very fortunate to be advised by Sylvain Arlot and Bertrand Thirion.
My current research interests are:
- High-dimensional statistics
- Machine learning for hypothesis testing
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.
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]
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]
- Address: Office 2A20, Département de Mathématiques, Bâtiment 307, campus Orsay, France
tuan-binh.nguyen [AT] math.u-psud.fr or
tuan-binh.nguyen [AT] inria.fr
Last web update: 08/10/2020