I am a postdoctoral researcher at the Potsdam Institute for Climate impact research (PIK). My work focuses on global energy modelling and low-emissions scenarios design, a joint effort with the team of Gunnar Luderer in the “Transformation Pathway” research department. For more information, please visit my PIK webpage or contact me directly.
Before working in climate change research and mitigation, I defended my PhD in the computer science lab LIP6 of Sorbonne University in Paris in the Complex Networks team. It focussed on scalable graph algorithms applied on real-world datasets, specifically on finding node orderings that improve specific algorithms in practice. I also worked 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 where I did research on dynamic networks.
Beside my research activites, I participate to the citizen energy community Enercitif that deploys and exploits solar power plants on Parisian roofs.
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Quality certification of heuristics on real-world graphs, unpublished 2022.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.
Ordering nodes to scale to massive real-world networks, 2020 – 2023. PhD project in Paris with Lionel Tabourier & Clémence Magnien.
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.