Teaching
Université Paris Cité 
Master
- Advanced artificial intelligence: Diffusion models (CM+TP, 12h)
Hands-on session on diffusion models
- Advanced artificial intelligence: Graph neural networks (CM+TP, 17.75h)
Hands-on session on graph neural networks
- Deep learning and artificial intelligence 2 (CM+TP, 8h)
Hands-on session on protein structure representation learning
Hands-on session on protein sequence representation learning
- Computer project management and advanced programming (21.5h)
- Optimization and machine learning methods (TP, 5.5h)
- Advanced structural bioinformatics and molecular modeling (CM+TP, 3h)
- Design and management of innovative R&D projects: From idea to implementation (CM, 3h)
Licence
- Introduction to biostatistics and data analysis (TD+TP, 20h)
- Biostatistics 2: Hypothesis Testing (TD+TP, 16h)
- Simulation in biology 1&2 (TP, 14h)
- Mathematical modeling in biology (TD, 30h)
Sorbonne Université 
- Algorithms in structural bioinformatics (CM+TP, 18h)
- Basics of programming in Python (TP, 63h)
- Phylogeny and comparative genomics (TP, 32h)
- Introduction to bioinformatics (TP, 68h)
- Algorithms on trees and graphs in bioinformatics (TD, 6h)
- Data Structures (3.8h)
Polytech Sorbonne Université 
- Object-oriented programming (TP, 40h)
- C programming language (TP, 20h)