After graduating from the TU Delft Aerospace Engineering program, I joined a startup working on autonomous aircraft. I fell in love with the question of how to make autonomous systems safe, and even more critically, how to certify that we have done so successfully. So, looking for answers to these questions, I joined ETH Zürich for a masters in Robotics, Systems and Control, during which I focused on statistics and machine learning theory. I also interned at Motional, an autonomous driving company, where I was working on tools for detecting the safe operational envelope of their self-driving stack.
At Oxford, I am working in the field of safety, reliability, and trustworthiness within intelligent systems. My research encompasses both foundational principles and practical applications, with a primary focus on ensuring the secure and dependable operation of autonomous systems, large language models (LLMs), and other machine learning applications where quality and safety performance are paramount. Additionally, I have a keen interest in promoting ethical practices for the deployment of AI-based systems and the development of effective regulatory and governance frameworks.
