Ying ZHANG

Ying ZHANG has a diverse work experience. In 2011, they worked as an Ingénieur d'étude et développement at Floralis. From 2012 to 2015, they worked as an Ingénieur de recherche et développement at Lingua et Machina. In 2016, they joined Université Grenoble Alpes as an Enseignant et chercheur, where they stayed until 2018. Since 2019, Ying ZHANG has been the Chief AI Scientist at LEVIATAN.

Ying Zhang completed a Doctor of Computer Science degree in Natural Language Processing from Université Grenoble Alpes between 2012 and 2016. Prior to that, Ying obtained a Master's degree in Computer Software Engineering from the same university, the exact years of which are not mentioned.

In terms of additional certifications, Ying completed several courses on Coursera. In June 2019, Ying obtained certification for "Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization." In July 2019, Ying obtained certifications for "Deep Learning Specialization," "Convolutional Neural Networks," "Structuring Machine Learning Projects," and "Neural Networks and Deep Learning." The specific institution for all the certifications is Coursera.