In this episode, we speak with Michael Yuhas, a Ph.D. candidate in the Interdisciplinary Graduate Programme at Nanyang Technological University, whose research at the Energy Research Institute focuses on assured safety systems for autonomous vehicles. Michael shares how his industry experience at Apple and NIO shaped his academic path, and explains key concepts such as out-of-distribution detection and the challenges of validating AI-driven systems under unpredictable conditions like heavy rain. He also offers a glimpse into his daily Ph.D. routine and what it’s like doing research at the intersection of engineering, AI, and safety.