Education

• Ph.D. in Mathematics and Machine Learning, ENS Paris (Ulm), 2020 - 2024
• M.S. in Mathematics, Vision and Machine Learning (MVA), ENS Paris-Saclay, 2020
• M.S. in Mathematics of Modeling, Sorbonne Université, 2020
• B.S. in Mathematics, Ecole Polytechnique (Cursus Ingénieur, X2016), 2019

Experience

• Visiting Student, Tokyo University and RIKEN AIP, Tokyo. May 2023 - August 2023

• Student Researcher, Google Brain, Paris. Sept. 2022 – March 2023

• Teacher in Statistics and Probability theory, Ecole Normale Supérieure, Paris. 2020 – 2022

• Mathematical examiner for B.S. students at Lycée Henri IV, Paris. 2017 - 2020

• Internship - Differentiable layers through compressed dynamics. DMA, Ecole Normale Supérieure, Paris. April 2020 - September 2020

• Internship - Mathematical modeling of color vision. Benhia Lab, Colombia University, New York. April 2019 - August 2019

• Internship - Statistical modeling of DNA sequencing. SOPHiA Genetics, Geneva. June 2018 - September 2018