Projects
PhD
Calibration of complex system models for the construction of the digital twin of the autonomous vehicle
May 2021 - September 2024 | Industrial PhD between Renault group and CREST laboratory, ENSAE, IPP
- Manage a project combining academic and industrial objectives
- Implement and develop an innovative and efficient solution
- Build generative neural networks for time series prediction
- Monitor scientific and technological developments
- Supervise a student on an end-of-study internship
- Collaborate with engineers and propose solutions
- Write scientific reports and articles for international conferences
- Present results in-house and at conferences
Internship: report (FR) - slides (FR)
PhD: report (ENG) - slides (ENG)
Hackathon Open Data DGFiP 2022
Winning team
- Analyze the coverage of the territory by DGFiP structures
- Propose a solution to optimize their territory distribution
- Implement a Python package available on GitHub
- Communicate results via video and Tableau
Tableau presentation - slides (FR)
Second year of master
Earthquake prediction project
- Build a complete and reliable database
- Identify the most suitable methods for prediction
- Implement a package including all the work involved
- Write a report and give an oral presentation
First year of master
Internship - Atomic-scale denoising of hyperspectral imaging
June-August 2019 | Solid State Physics Laboratory, CNRS, Orsay
- Develop an image and signal denoising solution
- Communicate with physicists to identify and meet their needs
Kaggle competition to predict electricity consumption
- Clean up and format the database supplied by EDF
- Identify and test high-performance methods for predicting electricity consumption