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