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LylianChallier/README.md

Hello! Nice to meet you, I'm Lylian Challier 👋

MSc student at CentraleSupélec, specialized in mathematics, AI, machine learning and deep learning, applying for a 6 month experience starting March 2026 as a step toward for a future industrial PhD.

This year I was selected for the Digital Tech Year selective track, an innovation program, and awarded the MathTech Gap Year fellowship (4 laureates, FMJH). This experience bridges real-world AI innovation with my PhD-oriented research goals.

I worked on several projects (that you can find on Github):

  • 🏰 Agentic AI visit assistant for touristic tours @VersaillesCastle (with LangChain and LangGraph)
  • ⚗️ Explainable AI to discover wall laws in turbulent convection @LISN/CNRS (with SINDy and KAN models)
  • 🌇 Variational Auto-Encoders @UPSaclay (implementation & streamlit app)
  • 💡 Electric Demand Forecasting @UPSaclay/EDF (with Deep Learning)
  • ⚡️ Predictive Modeling for Energy Consumption @UPSaclay/EDF (with R)
  • 🎬 Movie Recommendations with unsupervised learning @UdeMontreal

Contact me

⚙️ Language and tools ⚙️

CSS Django Docker FastAPI Git HTML LaTeX numpy pandas python pytorch R React sklearn streamlit SQL

Pinned Loading

  1. VAEs VAEs Public

    Streamlit app to explore VAEs

    Python

  2. Vers-AI-lles Vers-AI-lles Public

    Forked from EpsilonFO/Vers-AI-lles

    Palace of Versailles Hackathon - AI agent that proposes a customized itinerary in the Palace of Versailles for the user, based on some information the user gives.

    Python

  3. ElectricDemandForecast ElectricDemandForecast Public

    Forked from EpsilonFO/ElectricDemandForecast

    Python

  4. SymboliConvection SymboliConvection Public

    Identification of symbolic equation on Rayleigh-Benard turbulent convection for wall laws.

    Jupyter Notebook

  5. Net-Load_Forecasting Net-Load_Forecasting Public

    Forked from EpsilonFO/Net-Load_Forecasting

    R

  6. MazePrim MazePrim Public

    Maze generation with Prim's algorithm

    Python