CV

Education

April 2023 – September 2023: Research Engineer at INRIA, PreMeDICaL
- Working under the supervision of Julie Josse and Erwan Scornet on Causal inference.
April 2022 – October 2022: Research Intern at EPFL, LCAV
- Worked under the supervision of Julien Fageot on statistical analysis of sparse inverse problem algorithm.
- Adapted and re-wrote a paper on sparse inverse problem to the periodic case.
April 2021 – July 2021: Research Intern at ENS ULM & CNRS
- Worked on biology applications of machine learning under the supervision of Guillaume Dugu ́e and Pierre Latouche.
- Built an acquisition setup and calibrated multiple cameras in order to reconstruct a 3D model of rats.
- Trained a neural network to track the behaviors of the rats using multiple camera views with DeepLabCut.
January 2021 – April 2021: Research Intern at Air France & CERMICS
- Worked under the supervision of Axel Parmentier on the prediction of the delays of airplanes using a stochastic model.
- Applied a Lagrangian relaxation on the pricing sub-problem to derivate a lower bound of the minimization problem
- Implemented a sub-gradient method to minimize delay costs based on the previous stochastic model.

October 2019: Operations Research Project
- Finalist in an operations research contest co-organized by Renault and École des Ponts.
- Implemented an algorithm that dictates when and where to deliver materials to the Renault factories in order to optimize time, CO2 emissions and costs.
- The solution we developed was 40% more efficient than the standard solution by Renault.
November 2018 – March 2020: Self Driving Vehicle
- In a group of three supervised by Fawzi Nashashibi, we designed and programmed a semi-autonomous driving vehicle for disabled people capable of moving freely in public areas or museums.
- Implemented a SLAM algorithm in order to localize the vehicle in closed and known environments.
- Trained a CNN to detect and recognise objects near the car to ensure a safer drive.