Mathis Brosowsky

Mathis Brosowsky is an accomplished Data Scientist currently employed at CARIAD since January 2022. Prior to this role, Mathis served as a PhD Candidate at Porsche AG from November 2018 to October 2021, focusing on safe deep learning techniques for automated driving, including sample-specific output constraints for neural networks and safe reinforcement learning. Mathis started at Porsche AG as a Data Science Intern from October 2017 to March 2018, where responsibilities included implementing a variational autoencoder for novelty detection and prototyping a backend with AWS. Academically, Mathis earned a Dr.-Ing. degree from the Karlsruhe Institute of Technology, and holds both a Master of Science and a Bachelor of Science in Physics from Heidelberg University.