Nicolas Bougie

Machine Learning Research Engineer at Woven Planet Holdings

Nicolas Bougie has a diverse work experience in the field of machine learning and artificial intelligence. Nicolas is currently working as a Machine Learning Research Engineer at Woven Planet since November 2022. Prior to this, they worked at NEC Corporation as a Machine Learning Researcher from April 2021 to October 2022. In this role, they developed machine learning and reinforcement learning models to solve industrial problems, created interpretable machine learning models, conducted data mining and analysis, and actively contributed to the research and vision of NEC-AIST through patent writing and publication of papers.

Before joining NEC Corporation, Nicolas was a PHD Student in Machine Learning at the National Institute of Informatics from April 2018 to April 2021. During this time, they gained in-depth knowledge and expertise in their field of study. Nicolas also served as a Teacher Assistant at The University of Tokyo, where they supported the teaching of "Introduction to Machine Learning" class.

Nicolas Bougie's career started as an Intern in Artificial Intelligence and Machine Learning at the National Institute of Informatics in 2017. Nicolas also gained experience in motion tracking and virtual reality on tablets during their internship at Centre national de la recherche scientifique in 2016.

Overall, Nicolas Bougie's work experience showcases their strong background in machine learning research, development of models for industrial applications, and their contributions to academia through publications and teaching.

Nicolas Bougie has an extensive education history in the field of computer science and machine learning. Nicolas obtained their Bachelor of Science degree in Mathematics and Computer Science from Paris-Sud University (Paris XI) in 2015. In the same year, they also acquired a Full Stack Web Development Certification from Free Code Camp.

Moving forward, Nicolas pursued higher education and completed a Master of Science (MS) degree in Machine Learning, Information, and Content from Université Paris-Saclay in 2017. During this period, they also earned the Magistère Jacques Herbrand degree in Informatique from Paris-Sud University (Paris XI).

Nicolas continued their academic journey and joined the National Institute of Informatics in 2018 for their Doctor of Philosophy (PhD) in Machine Learning. As of now, Nicolas is expected to complete their PhD in 2021.

Apart from their formal education, Nicolas also holds a certification in "Shaping up with Angular.js" from Pluralsight, although the specific details of when they obtained this certification are not available.

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Timeline

  • Machine Learning Research Engineer

    November, 2022 - present