Sorbonne Université & Ecole Polytechnique | 2025 - 2026
Master M2 Probability and Finance (ex DEA El-Kaouri)
Pre-registration Courses - September 2025
Elements of Statistics - Professor: ROQUAIN
Complements of Probability - Professor: LEMAIRE
Python for Data Science - Professor: PRINTEMS
Partial Differential Equations for Finance
Probability, Simulation and Optimisation - September-December 2025
Introduction to Diffusion Processes - Professor: ZAMBOTTI
Numerical Probability: Monte Carlo Simulation and Stochastic Optimization - Professors: PAGÈS, LEMAIRE
Convexity, Optimization and Stochastic Control - Professor: KHARROUBI
Machine Learning, Neural Networks and Deep Learning - Professors: GALLINARI, WILBERTZ
Financial Markets, Derivatives and Econometrics - September-December 2025
Financial Statistics and Econometrics Components
Introduction to Financial Markets and Derivatives
Interest Rate Models and Derivatives
Risk Management and Regulatory Aspects
University of Cambridge - Engineering Department | 2021 - 2025
Information & Computer Engineering (Machine Learning)
MEng Honours with Merit
Year 4 - Part IIB Project (2024-2025)
Physics-Informed Machine Learning for Populational Inverse Problems
- Supervisors: Professor Mark Girolami & Dr. Arnaud Vadeboncoeur
- Grade: First Class
- Description: This project addresses the problem of estimating population-level parameters from indirect, noisy observations across multiple heterogeneous systems. The research focuses on inverse problems where individual system parameters are unobservable, but aggregate population statistics can be inferred.
Two complementary methodological approaches are compared:- Hierarchical Bayesian Models: Employs Markov Chain Monte Carlo (MCMC) sampling to explore the full posterior distribution, providing uncertainty quantification
- Distribution-Matching Approach: Uses gradient-based optimization to minimize the Sliced-Wasserstein distance between observed and predicted population distributions
Year 4 - Part IIB Modules (2024-2025)
Data-driven and learning based methods in mechanics and materials
Innovation and strategic management of intellectual property
Strategic management
Project management
Deep learning and structured data
Probabilistic Machine Learning
Computational Statistics and Machine Learning
Algorithms and Data Structures
Year 3 - Part IIA Modules (2023-2024)
Signals & Systems
Systems & Control
Statistical Signal Processing
Information Theory & Coding
Inference
Mathematical Methods
Year 2 - Part IB Modules (2022-2023)
Mechanics and Thermofluids
Electrical Engineering
Information Engineering
Structures and Materials
Computing
Integrated Design Project (IDP)
Integrated Coursework - "Earthquake-resistant structures"
"Sustainable Engineering" poster
Year 1 - Part IA Modules (2021-2022)
Lego Mindstorms Project
Dimensional Analysis
Exposition
Computing
'Engineer in Society' report
Drawing (CAD)
Drawing
Machine Tools
Structural Design Project (SDP)
Integrated Electrical Project (IEP)
Mechanical Engineering
Electrical & Info. Engineering
Structures and Materials
Microprocessor Course
Design Challenge
Lycée International de Londres Winston Churchill | 2018 - 2021
French Baccalaureate Highest Honours Mention Très Bien avec Félicitations du Jury (18.75 /20 overall)
- Mathematics (19.80/20)
- Physics (19/20)
- Computer Science (19/20)
- EPQ (A*): "How can the present and future of nuclear energy help reduce carbon emissions?"
- Ranked 5th in Northern Europe at the French Mathematical Olympiads (2021)
