Sebastien Ehrhardt

Sebastien Ehrhardt's work experience includes roles at various prestigious organizations. Sebastien started as an Intern at Thales Air Systems in 2014, where they worked on radar segmentation techniques. In 2015, they were a Visiting Student at the University of Oxford's VGG lab, focusing on developing the MatConvNet library for Convolutional Neural Networks and implementing efficient GPU algorithms. Sebastien later joined Dassault Systèmes in 2016 for a 6-month internship, where they worked on Real-Time Semantic SLAM mapping. Sebastien then pursued a Ph.D. at the University of Oxford from 2016 to 2020, and during their time there, they also interned at Facebook AI in 2019. Currently, they are working as an Applied Scientist at Onfido starting from October 2020.

Sebastien Ehrhardt completed their education as follows:

From 2016 to 2020, Sebastien pursued a Doctor of Philosophy (PhD) degree in Intelligence artificielle from the University of Oxford.

In 2015 to 2016, they attended École Normale Supérieure Paris-Saclay and obtained a Master 2 (M2) degree with a focus on Computer Vision, Machine Learning, and Mathematics.

Between 2012 and 2015, Sebastien studied at CentraleSupélec, where they focused on subjects such as Maths, Physics, Information Technology, Computer Science, specifically in Machine Learning and Computer Vision. However, the degree obtained during this period is not mentioned.

In 2013 to 2014, Sebastien pursued a Master of Science degree in Mathematics from Paris-Sud University (Paris XI), specializing in Differential Geometry and Fundamental Algebra.

Sebastien began their higher education in 2010 to 2012 at Cours Préparatoires aux Grandes Écoles - Lycée Carnot, where they completed a Bachelors of Science level degree in Mathematics and Physics.

Lastly, from 2008 to 2010, Sebastien attended Lycée Montchapet (Dijon) and received a Diploma Baccalaureate with high honors, focusing on Science.