David Hurych is a research scientist and senior expert in the Valeo.ai research team. His research focuses on adversarial generative models and unsupervised / semi-supervised / self-supervised machine learning methods for perception tasks on image and laser data for autonomous driving. Formerly he was a research engineer and software team leader in Valeo. David received his Ph.D. in 2014 in Biocybernetics and Artificial Intelligence study programme at the Czech Technical University in Prague. During his doctoral studies he spent 3 months’ on an internship in the National Institute of Informatics in Tokyo, Japan.