teaching

EPFL (2022-2025)

Teaching assistant and lecturer:

Mentor for master’s theses:

  • Oleg Fafurin on graph sparsification using shortest paths (2024).
  • Robin Jaccard on Bayesian Optimization for Mixed-Membership Community Detection (co-supervised with Anthony Bardou) (2025).
  • Lorenzo Ferri (co-supervised with Daichi Kuroda) on spectral clustering on weighted graphs (2025).

Mentor for student projects:

  • Charbel Chucri on graph sparsification using shortest paths (2023) and robust clustering (2024). Paper accepted at NeurIPS 2024.
  • Robin Jaccard on source localisation in random graphs (2023).
  • Felipe Schreiber on clustering networks with node attributes using Bregman divergences (2023). Master student at Universidade Federal do Rio de Janeiro (UFRJ), co-supervised with avec Daniel Ratton Figueiredo. Paper accepted at NeurIPS 2023.
  • Patrick Trindade (2024) on efficient estimation of closeness centrality and eccentricity in large networks. (Bachelor student at Universidade Federal do Rio de Janeiro (UFRJ), co-supervised with Daniel Ratton Figueiredo). Paper accepted at Complenet 2025.

Mentor for intern students (program Summer@EPFL in 2023 and 2024):

  • Alperen Gözeten on clustering sub-exponential mixture models. Paper accepted at COLT 2024). Now PhD at University of Michigan.
  • Elaine Siyu Liu on clustering under degree-heterogeneity. Now PhD student at Stanford.

Université Nice - Côte d’Azur (2019-2021)

Teaching assistant and lecturer:

  • Teaching the course Statistical Analysis of Random Graphs with Konstantin Avrachenkov (30 teaching hours over 2 years). The class is optional for the following Master.
  • About 100h of TA activities for diverse Bachelor courses.

High school (2016-2018)

Mathematic Teacher