Michael Pradel is a full professor at the University of Stuttgart, which he joined after a PhD at ETH Zurich, a post-doc at UC Berkeley, an assistant professorship at TU Darmstadt, and a sabbatical at Facebook. His research interests span software engineering, programming languages, security, and machine learning, with a focus on tools and techniques for building reliable, efficient, and secure software. In particular, he is interested in neural software analysis, analyzing web applications, dynamic analysis, and test generation. Michael has been awarded the Software Engineering Award of the Ernst-Denert-Foundation for his dissertation, the Emmy Noether grant by the German Research Foundation (DFG), an ERC Starting Grant, and three ACM/SIGSOFT Distinguished Paper Awards.