Paul Wambergue

Paul Wambergue has had a varied work experience since 2014. Paul began their career as a Teaching Assistant in Mathematics for Éducation Nationale in 2014. In 2016, they were an Actuarial intern for AXA France. In 2017, they were a Research intern for Université de Montréal, where they worked on random number generation. In 2018, they were a Research intern for IDEMIA, working on computer vision for facial recognition and adversarial training of neural nets to mitigate glasses bias. Finally, in 2019, they became a Machine Learning Engineer for Therapixel, where they worked on computer vision for breast cancer screening using Tensorflow, Tensorflow Serving, GRPC, and Docker.

Paul Wambergue's education history includes a Master of Science from \u00c9cole Normale Sup\u00e9rieure Paris-Saclay from 2017 to 2018, a Master of Engineering from CentraleSup\u00e9lec from 2014 to 2018, and a MPSI-MP* from Lyc\u00e9e Hoche (Versailles) from 2011 to 2014. Paul also holds a Machine Learning certification from Coursera Course Certificates obtained in April 2016.