Jordan Fréry

Jordan Fréry has a diverse work experience in the field of machine learning and data science. From 2012 to 2015, they worked as a Student Engineer at Cégep de Saint-Laurent, Formation continue et service aux entreprises. In 2014, they worked as a Research Student at Université Jean Monnet Saint-Etienne, focusing on sleep stages detection and author identification problems using machine learning and NLP.

From 2015 to 2019, they joined Worldline Global as a Research Scientist, where they applied machine learning techniques to credit card fraud detection. Their work involved ensemble learning, boosting, online learning, imbalanced learning, deep learning (using PyTorch and Keras), and large-scale machine learning.

In 2019, they joined Concirrus as a Senior Data Scientist, where they worked until 2021. As a Senior Data Scientist, they contributed their expertise in developing data-driven solutions.

Currently, since 2021, they are working as a Research Scientist/Engineer - Machine Learning at Zama, utilizing their skills and knowledge in machine learning.

Jordan Fréry completed an Associate's Degree in Computer Science and Electrical Engineering from Université Jean Monnet Saint-Etienne in 2010-2012. Jordan then pursued a Bachelor's Degree in Computer Science from VIA University College from 2012-2013. Following that, they obtained a Master's Degree in Computer Science (Artificial Intelligence) from Université Jean Monnet Saint-Etienne in 2013-2015. Finally, they completed their education with a PhD in Machine Learning from Université Jean Monnet Saint-Etienne from 2015-2018.