Experience

Osaka University

• Japan
• Higher Education
• 500 - 600 Employee

• PHD Student and Research Assistant

  • Mar 2021 - Present

  https://www.is.ids.osaka-u.ac.jp/ I'm researching in the fields of computer vision and artificial intelligence related to the topics of adversarial examples, political advertisement and art archeology. https://www.is.ids.osaka-u.ac.jp/ I'm researching in the fields of computer vision and artificial intelligence related to the topics of adversarial examples, political advertisement and art archeology.



Institute for Datability Science

• Suita, Osaka, Japan

• Intern

  • Nov 2020 - Mar 2021

  Research activities for computer vision and machine learning applied to art history and face recognition. Preparing for PhD. Research activities for computer vision and machine learning applied to art history and face recognition. Preparing for PhD.



l'INSA Centre Val de Loire

• France
• Higher Education
• 1 - 100 Employee

• Étudiant

  • Sep 2015 - Sep 2020



GE HealthCare

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Stagiaire en recherche et développement

  • Feb 2020 - Jul 2020

  I joined the Advanced Worstation team as part of a research internship on the quantification of the aortic valve in preparation for a TAVI operation. The objective was to design an efficient deep learning solution to segment the aortic valve from a patient's CT scan. Fundamental research, implementation of mathematical functions, data analysis, learning optimization and validation of results and workflow were my main activities. Activities: Bibliographic research, mastering Tensorflow Estimators, memory and processing optimizations, image processing and trained model validation methods. Show less



Universitat de Barcelona

• Spain
• Research Services
• 700 & Above Employee

• Chercheur stagiaire

  • Apr 2019 - Jul 2019

  Research in computer vision and artificial intelligence, generating new samples of medical pictures with Tensorflow. The main subject of the internship was the improvement of a dataset for polyp detection during non invasive digestive system acquisition using adversarial learning. I have conducted a complete state of the art of this technologie, customized original work for our problematic and produced a qualitative evaluation of our work. Technologies used: Python, tensorflow, keras, numpy, scipy, sklearn, Jupyter Show less



ETS Montréal

• Région de Montréal, Canada

• Étudiant ingénieur

  • Sep 2018 - Dec 2018

  I completed a semester of academic exchange at ETS by focusing my courses on the technologies and sciences of artificial intelligence. I took machine learning and deep learning, high performance computing, and security course. Main subjects: machine learning, NLP, computer vision, parrallele computing and CUDA computing Technologies used: Python, C++, CUDA, OpenCL, Tensorflow, sklearn, numpy, pandas, nltk I completed a semester of academic exchange at ETS by focusing my courses on the technologies and sciences of artificial intelligence. I took machine learning and deep learning, high performance computing, and security course. Main subjects: machine learning, NLP, computer vision, parrallele computing and CUDA computing Technologies used: Python, C++, CUDA, OpenCL, Tensorflow, sklearn, numpy, pandas, nltk