CV

Education

• Ph.D in artificial intelligence, Ecole Centrale de Lyon, 2025 (expected)
• Master of Sciences in computer Science, Université de Rennes 1, 2022
• Master Degree in Computer Science, INSA Rennes, 2022

Work experience

• October 2022 - Now : PhD Student - Ecole Centrale de Lyon
  • My PhD thesis focus on the learning of a latent representation of a scene in order to simplify the manipulation for robots. I’m currently interested in the “object-centric” representation learning which seems to be a promising area of research.
• February - September 2022 : Research Intern - IRISA Rennes
  • Writting of a bibliography on handwritten text recognition for old documents (XVII th century). Study of state of the art deep learning models (CRNN, CTNN, etc.). Implementation of a new pipeline using semi-supervised siamese newtorks on Pytorch. Presentation of my final work at SIFED 2022 (Symposium International Francophone sur l’Ecrit et le Document) in Rennes : “Handwritting Recognition using Multi-Hypothesis based Semi- Supervised Learning for adaptation to specific documents“.
• Summer 2021 : Research Intern - Inria Rennes
  • Development of a proof-of-concept system combining 3 Azure Kinect cameras to detect and follow the movements of 11 people for an artistic project titled « Event By Eleven » by n+n Corsino presented at Tokyo in November 2021 as part of «Computer Music and Multidisciplinary Research ». Direct collaboration with Golaem company. Implemented a system to calibrate and synchronize every cameras together and began to work on an Unreal Engine 4 SDK to collect and recognize the movements of the user in real-time.
• Summer 2020 : IT Intern - Capgemini
  • Work in a team of 10 people with Agile methodology (SCRUM) and synchronization with other teams through SAFe methodology. Update of a logging library written in Java, Php and NodeJS.

Skills

• Python
• Deep learning
  • Pytorch
  • Tensorflow
  • Numpy
  • SLURM
  • Model and data parallelisation
• Robotics
  • ROS
  • Gazebo
• Github
• C++
• Web
  • HTML/CSS
  • Javascript
  • Node.js

Publications

Template publication

Chapin et al. (2023). "Title" Conf. 1(1).

Talks

Teaching

Master student reserch project - Winter 2022

Tutorials supervision (Deep learning) - Winter 2023

Service and leadership

• TO COME