CV

Education

• Ph.D. in Deep Learning, Université Paris-Saclay, 2024 (Expected)
• M.Sc. (Engineer’s degree; Diplôme d’Ingénieur; Master) in Data Science and Computer Science, Telecom Paris, 2019
• M.Sc. (Master 2) MVA program, École Normale Supérieure Paris-Saclay, 2019

Work experience

• Teaching assistant at Université Paris-Saclay, Febuary 2021 - May 2021
  • Taught courses on machine learning, algorithms and python programming.
• Data science consultant at ChaLearn, October 2020 - January 2021
  • Designed a synthetic data generator, which is then recognized by the NeurIPS community.
  • Designed a competition on black-box optimization.
• Data scientist intern at Orange Labs (modelling and statistical analysis team), April 2019 - September 2019
  • Modeled marketplace dynamics.
  • Executed a literature review on deep reinforcement learning and matching algorithms.
  • Developed a deep reinforcement learning library using python.
• Personal development intern at Atami, Japan, July 2017 - August 2017
  • Personal development internship (stage de Formation Humaine) is a multidisciplinary program in French institutions aimed at cultivating ethical, social, and communication competencies.
• R&D intern at Montpellier Cell Biology Research Center - CNRS (electronic department), April 2016 - June 2016
  • Developed an instrument to measure the elasticity and the adhesion of cell membrane.

Skills

• Programming:
  • Python, PyTorch, Linux, Git, Shell script, HuggingFace, Pandas, Docker, LaTeX, SQL, etc.
• Language:
  • French: full professional proficiency (CEFR C1, ETS TFI)
  • English: full professional proficiency (ETS TOEFL ITP)
  • Chinese
  • Japanese: elementary proficiency