# Rémi Boutin

Postdoc, LPSM, Sorbonne Université

I hold a postdoc position at the LPSM laboratory, Sorbonne Université, under the supervision of Catherine Matias. My work focuses on node clustering in sparse hypergraphs.

I obained my PhD in 2023 at the MAP 5 laboratory,
Université Paris Cité, for my thesis on *Deep graphical models and inference strategies for the analysis of networks comprising textual edges*
under the supervision of Pierre Latouche
and Charles Bouveyron.

My areas of research are related to *statistical network analysis*, *network clustering*,
*topic modelling* as well as *deep probabilistic modelling*. Feel free to send me an email for more information concerning my work.

## news

Dec 14, 2023 | PhD defence in front of the jury composed of Etienne Côme (examinateur), Sophie Donnet (rapporteuse), Brendan Murphy (rapporteur), Tabea Rebafka (examinatrice), Cinzia Viroli (examinatrice). The manuscript is available here and the slides of my PhD defence here. |
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Jul 4, 2023 | Presentation at the Journées de la Statistique 2023 on the Deep Latent Position Topic Model. The slides are available here |

Apr 6, 2023 | Poster session at Statlearn 2023 on the Deep Latent Position Topic Model, the poster is accessible here |

Nov 15, 2022 | Presentation during the seminar of Probability, Analysis and Statistic at the Laboratoire de Mathématiques Blaise Pascal, Université Clermont Auvergne. |

Nov 9, 2022 | Introduction to probabilistic modelling and variational inference during the seminar of PhD students, at the Laboratoire de Mathématiques Blaise Pascal, Université Clermont Auvergne. |

Oct 14, 2022 | Presentation during the seminar of PhD students, at the MAP5, Université Paris Cité. |

Jun 13, 2022 | Presentation during the Journées de la Statistique 2022, in Lyon. The slides are available here |

Apr 6, 2022 | Poster session at Statlearn 2022, in Cargèse. |

Nov 6, 2021 | Poster session during the SophIA summit, the poster is available here |