Academical service

Teaching

Research Project, Project supervisor, Final year students.
CentraleSupelec, Université Paris-Saclay, 2023.

Machine Learning in Network Science, Teaching Assistant, Final year students.
CentraleSupelec, Université Paris-Saclay, 2023.

Research Project, Project supervisor, Final year students.
CentraleSupelec, Université Paris-Saclay, 2022.

Machine Learning in Network Science, Teaching Assistant, Final year students.
CentraleSupelec, Université Paris-Saclay, 2022.

Machine Learning in Network Science, Teaching Assistant, For final year students.
CentraleSupelec, Université Paris-Saclay, 2021.


Talks

Seminar Talk for the CRUNCH group of Brown University, Providence (US), January 2023.
Using ML for accelerated catalysis discovery . link video slides

Paper presentation Institut Polytechnique de Paris, (France), October 2023.
FAENet: Frame Averaging Equivariant GNNs for Materials Modeling

Keynote speaker at CIKM 2022 in the AIMLAI workshop, Atlanta (US), October 2022.
Explainability for Graph Neural Networks


Voluntary work

  • Co-organiser of the Learning-on-Graphs (LoG) conference 2023.
  • Organiser of local meetups in Paris about Graph Machine Learning.
  • Contributor to open source libraries (e.g. Pytorch Geometric).
  • Reviewer for ICML, NeurIPS, LoG and the Web Conference.
  • Lab representative at CVN CentraleSupelec and Inria OPIS.
  • Supervisor of one MSc intern at Mila.
  • AI for Tomorrow: write articles about AI, discuss challenges and promote beneficial usage.

Awards

  • Runner-up award in the 3 Minutes Thesis (3MT) competition with Universit ́e Paris-Saclay.
  • Mitacs Globalink Scholarship award obtained in 2022 for my work on accelerated catalysis discovery, with Prof. Yoshua Bengio, Prof. David Rolnick and Prof. Fragkiskos Malliaros.
  • SIGIR Student Travel Grant to participate in CIKM 2022 international conference in Atlanta (US).