CentraleSupélec
Courses, projects, and internships I completed during my engineering degree at CentraleSupélec (2020–2024).
3rd year — Mathematics and Data Science major (2023–2024)
- Advanced Statistics
- Harmonic Analysis
- Stochastic Calculus
- Advanced Machine Learning
- Stochastic Models in Finance
- Theoretical Deep Learning
- Mathematical Morphology
- Machine Learning in Network Science
- Reinforcement Learning
- Japanese
- Writing project in English
- Reflections on integrating AI as a project manager
- MVA courses (double degree)
- Research internship at EDF on interpretability for forecasting models
Gap year (2022–2023)
- Research internship at INRIA Grenoble on NLP & Privacy
- Autonomous coding project to build a mobile app from scratch
- Autonomous learning in programming and NLP
2nd year — S2 (Tokyo, 2022)
- Advanced Control Theory
- Advanced Databases
- Computer Vision
- Human-Machine Interfaces
- Machine Learning
- Signal Processing
- Cultural Understanding
- Japanese
2nd year — S1 (2021–2022)
- Control Theory
- Machine Learning
- Neurosciences and bioprocesses
- Design Science
- Introduction to particle physics and cosmology
- Corporate Law
- Economics
- Introduction to Climate Science
- Introduction to gender studies (social studies week)
- Quantum Computing project
- Corporate game
1st year (2020–2021)
- Statistics and learning
- Modelling in engineering
- Probabilities and Integration
- Partial Differential Equations
- Quantum physics
- Wave physics
- Transfer physics
- Continuous physics
- Electronic systems
- Quantum Computing project
- Coding week
- Corporate game
- Start-up week
MVA courses
Courses I took during my master’s degree in Mathematics, Vision and Learning (MVA) at ENS Paris-Saclay.
S2
- Graphical probabilistic models
- Deep Learning in practice
- AI & environment
- S2 CentraleSupélec (double degree)
S1
- Time Series
- Geometric Data Analysis
- Convex Optimization
- NLP & Graphs (ALTEGRAD)
- AI & safety (Turing Seminar)
- S1 CentraleSupélec (double degree)