Hello! Nice to meet you, I'm Lylian Challier 👋
Master's student in Applied Mathematics & Artificial Intelligence at Institut de Mathématiques d'Orsay,
Université Paris-Saclay. I love to explore how math can solve real-world problems.
Currently interning at LISN/CNRS, working on symbolic regression to model turbulent convection near walls.
I'm focusing on three main methods: SINDy, Gene Expression Programming (GEP), and Kolmogorov-Arnold Network (KAN).
🚀 Notable Projects
- Variational Auto-Encoders (implementation & Streamlit app)
- Electricity demand forecasting using Deep Learning
- Net-Load Forecasting in R
- Movie recommendation system using unsupervised learning
📫 Contact
🛠️ Languages & Tools
