PhD Student

Technical Skills: Python, Tensorflow, TFF, Pytorch

Education

• Kyoto University

  Abroad Semester in the Graduate School of Informatics

• Grenoble-INP, Ensimag

  French Engineer School in Grenoble

• Lycée Champollion

  Classe préparatoire aux Grandes Ecoles, MPSI, MP*

Work Experience

Currently PhD Student at CEA-LETI on Security of Federated Learning. Internship in National Institute of Technologie in Tokyo. Internship at Enlaps, company specialized in time-lapse camera and image processing.

Projects

Benchmarks of Deep learning models to predict wind speed of Typhoons in the North-West Pacific

Publication Under the direction of Kitamoto Sensei in Tokyo, I realized trained several models to predict the intensity of Typhoons. I used a database created by Kitamoto Sensei which gathers pictures in a range of 40 years.

Talks & Lectures

• Workshop in Yokohama University to present my work on Typhoons to students and professors in meteorology.

Publications

1. Neurips 2023: Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones