Mark Niklas Müller is a Ph.D. student at the Secure, Reliable, and Intelligent Systems Lab at ETH Zurich and advised by Prof. Martin Vechev. Mark’s research focuses on provable guarantees for machine learning models, including both certified training methods as well as deterministic and probabilistic certification methods for a diverse range of neural architectures.