Experience

EPFL School of Computer and Communication Sciences

• Switzerland
• Higher Education
• 1 - 100 Employee

• Chercheur stagiaire

  • Apr 2022 - Present



Ecole normale supérieure

• Research Services
• 700 & Above Employee

• Research Internship

  • Apr 2021 - Jul 2021

  • 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. • 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.



Air France

• France
• Airlines and Aviation
• 700 & Above Employee

• Research Internship

  • Jan 2021 - Apr 2021

  • 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. • 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.



Kpler Power

• Belgium
• Technology, Information and Media
• 1 - 100 Employee

• Data Scientist

  • Sep 2020 - Jan 2021

  • Reverse-engineered an electricity supply and demand algorithm (Euphemia) which optimizes the use of power lines between European countries. • Implemented this algorithm with a delta method in order to predict the electricity market prices. • Reverse-engineered an electricity supply and demand algorithm (Euphemia) which optimizes the use of power lines between European countries. • Implemented this algorithm with a delta method in order to predict the electricity market prices.