cv
Basics
| Name | Thomas Besnier |
| Label | PhD student |
| thomas.besnier@univ-lille.fr | |
| Phone | +33 6 22 52 62 78 |
| Url | https://tbesnier.github.io/ |
| Summary | French PhD student working on geometric deep learning |
Work
-
2022.11 - 2025.10 PhD student in computer science
CRIStAL, University of Lille
Research on geometric deep learning, teaching computer science courses at Polytech Lille
- Shapes, Geometric Deep learning
Education
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2022.11 - 2025.10 Lille, France
PhD
University of Lille, Lille, France
Computer Science Research
- Deep learning
- Differential geometry of surfaces
-
2018.10 - 2022.10 Lille, France
M.Sc.
University of Lille, Lille, France
Mathematics
- Stochastic processes
- Functional analysis
- Differential geometry
-
2018.10 - 2022.10 Lille, France
M.Sc.
University of Lille, Lille, France
Engineering
- Applied Mathematics
- Machine learning
- Statistics
Skills
| Mathematics | |
| Differential Geometry | |
| Functional analysis | |
| Probability theory |
| Computer Science | |
| Deep learning | |
| Python | |
| C++ |
Languages
| French | |
| Native speaker |
| English | |
| Fluent |
Interests
| Physics | |
| Celestial Mechanics | |
| Quantum Mechanics |
References
| Professor Mohamed Daoudi | |