Paul Donzier

Paul Donzier has a diverse range of work experience. In 2016, they worked as a Machining Trainee at ETML, Ecole technique Ecole des métiers, Lausanne. In 2019, they were an R&D Engineer at Aleva Neurotherapeutics SA. In 2020, Paul joined Institut Pierre-Gilles de Gennes as an R&D Engineer, where they worked on the European microfluidic project "Holifab", focusing on microfabrication, testing, and designing an image processing pipeline. Currently, they are employed at PROPHESEE as a Machine Learning Engineer.

Paul Donzier's education history begins with their Bachelor of Science degree in Microengineering from EPFL (École polytechnique fédérale de Lausanne), which they completed from 2014 to 2017. Prior to that, they obtained a Scientific French Baccalauréat from Lycée Notre Dame de Bellegarde in 2014.

Paul then pursued their Master of Science degree in Micro & Nanosystems, with a minor in Biomedical Technologies, at EPFL from 2017 to 2020. During this period, Paul also completed a Master's Thesis in Microengineering at Imperial College London from 2019 to 2020.

In 2020, Paul enrolled in Sorbonne Université for a Master 2 (M2) program in Artificial Intelligence (DAC Master), which they are expected to complete in 2021.

In terms of certifications, Paul obtained a certification in Machine Learning from Coursera in April 2020.