Research Project,
Project supervisor, Final year students.
CentraleSupelec, Université Paris-Saclay,
2023.
Academical service
Teaching
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
Talk and Panel session ICML, Vienna (Austria), July 2024.
AI for materials discovery
Paper presentation Institut Polytechnique de Paris, (France), October 2023.
FAENet: Frame Averaging Equivariant GNNs for Materials Modeling
Paper presentation MOML Conference, Montreal (Canada), November 2023.
Crystal-GFN: sampling crystals with desirable properties and constraints
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 and ENS MVA students.
- 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).