Curriculum Vitæ
Education
Ph.D in Time Series Anomaly Detection (expected): Conducting research on deep learning for time series, with focus on anomaly detection, forecasting, and the development of foundation models for zero-shot forecasting. Teaching Assistant for the course Data Analysis at INSA Rouen. Covered topics including unsupervised learning, Principal Component Analysis, and Correspondence Analysis. Designed and evaluated student projects in data analysis and signal processing.
M.S. in Mathematics & Artificial Intelligence, Paris-Saclay University, 2022-2024. Coursework: Machine Learning (supervised, unsupervised, deep learning, reinforcement learning), Statistical Learning, High-Dimensional Modeling, Graphical Models, Optimization (incl. for CV), Big Data Systems (SQL, HDFS, MongoDB), Online Learning, Conformal Prediction, Data Challenge.
B.S. in Mathematics, Paris-Saclay University, 2019-2022
Work Experience
- April 2024 - September 2024: A.I. Research Intern
- THALES
- Training-Free Metric for Neural Architecture Search
Conducted a research-oriented internship exploring the Neural Tangent Kernel as a training-free metric for Neural Architecture Search. Additionally, I investigated and compared various search strategies to optimize neural network performance effectively.
- March 2023 - August 2023: A.I. Engineer Intern
- AZAP
- Uncertainty Analysis in a Machine Learning Forecasting Approach
Developed and implemented a machine learning model using Gradient Boosting to predict sales of promoted products. The project emphasized uncertainty analysis to enhance forecasting reliability.
- 2021 - Present: Math Tutor
- France
- Private Mathematics Tutor
Provide personalized mathematics classes to students, helping them strengthen their understanding and improve their academic performance.