I am a PhD student in the computer science lab LIP6 of Sorbonne University in Paris, under the supervision of Lionel Tabourier and Clémence Magnien in the Complex Networks team. I’m interested in scalable graph algorithms applied on real-world datasets, with a focus on finding node orderings that improve specific algorithms in practice. I also work on citation networks and scientific trajectories as a visiting student in a data analysis lab. Before that, I graduated from ENS Lyon in computer sciences and complex systems.
Feel free to contact me by email!
Seminars: Ordering nodes to scale to massive real-world networks, 2023. January invitation from the Lab for Web Algorithmics (University of Milan, Italy); May invitation from the Systopia lab (University of British Columbia, Canada).
Vertex cover quality certification on real-world networks, submitted 2023. Fabrice Lécuyer, Lionel Tabourier, Clémence Magnien.
Charting mobility patterns in the scientific knowledge landscape, submitted 2023. Chakresh Kumar Singh, Liubov Tupikina, Fabrice Lécuyer, Michele Starnini, Marc Santolini.
Tailored vertex ordering for faster triangle listing in large graphs, ALENEX 2023. Fabrice Lécuyer, Louis Jachiet, Clémence Magnien, Lionel Tabourier. Presented at: FRCCS’22 conference, MLG workshop of KDD’22 conference.
Quality certification of heuristics on real-world graphs, unpublished 2022. Fabrice Lécuyer. Presented at: JGA’22 workshop, FRCCS’23 conference [abstract].
[Replication] Speedup Graph Processing by Graph Ordering, ReScience 2021. Fabrice Lécuyer, Maximilien Danisch, Lionel Tabourier.
Community detection in fine-grained dynamical networks, 2020. Internship in Lyon with Rémy Cazabet.
Model of the Hospital Network and Health Trajectories, 2017. Internship in Boston with Marc Santolini, Amar Dhand, Sean Cornelius, Albert-László Barabási.
Introduction de données quantitatives dans la modélisation qualitative des régulations biologiques, 2016. Internship in Nantes with Olivier Roux.