About

I am a postdoctoral researcher in random matrix theory at IRIT, Signal & Communications Group, working with Henrique Goulart and Xiaoyi Mai on large tensor models for machine learning (ANR LATENT).

Previously, I was a PhD student in geometric statistics at Inria under the supervision of Xavier Pennec (ERC G-Statistics). I defended my thesis (Rethinking statistical methods with flags) in November 2025. I graduated from École des Mines de Paris - PSL and École Normale Supérieure Paris-Saclay (Master MVA) in 2022.

I am always glad to discuss my research or any topic related to machine learning, image processing and more generally applied mathematics.

Please feel free to contact me by email: name.surname[at]irit.fr.

News

2026 Mar. - Our paper "Nested subspace learning with flags" has been accepted for publication in the Journal of Machine Learning Research (JMLR)!
2026 Mar. - I started my postdoc at IRIT, Signal & Communications Group. I will work on the estimation of low-rank tensors in high dimensions with Henrique Goulart and Xiaoyi Mai.
2026 Feb. - My doctoral research has been honored with the Best PhD Thesis Award by the EDSTIC Doctoral School in the ATSI (Control, Image & Signal Processing) specialty!
2026 Jan. - Our paper "Parsimonious Gaussian Mixture Models with Piecewise-Constant Eigenvalue Profiles" has been accepted for publication in Statistics and Computing!
2026 Jan. - Our paper "The Curse of Isotropy: from Principal Components to Principal Subspaces" has been accepted for publication in Statistical Science!
2025 Nov. - I defended my PhD thesis! Here is the YouTube link for the presentation. More info in the dedicated page.
2025 Feb. - I was invited to the thematic program "Infinite-dimensional Geometry: Theory and Applications" at the Erwin Schrödinger Institute in Vienna. The video of my talk on the curse of isotropy is online!

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