Tim G. J. Rudner

Professor Tim G. J. Rudner
Interests
My research interests span machine learning, AI safety, and AI governance. The goal of my research is to create well-specified, robust, and transparent machine learning models that can be deployed in safety-critical and high-stakes settings. I am particularly interested in (i) understanding and expanding the statistical foundations of generative models [1,2] (with a focus on robustness to domain shifts [1,2], reliable uncertainty quantification [1,2,3], and interpretability [1,2,3]), (ii) creating trustworthy AI agents [1,2,3], and (iii) designing regulatory approaches that enable the effective governance of frontier AI models [1,2].
See my list of publications and my Google Scholar profile for more information.
DPhil Supervision
I (co-)advise DPhil students at Oxford. If you'd like to work with me at Oxford, apply to the CDT in Autonomous Intelligent Machines and Systems (AIMS), name me as a potential advisor in your application, and email me your application directly with the subject line "[AIMS CDT Application] YOUR_FULL_NAME". If you're already a DPhil/CDT student at Oxford, feel free to email me directly.
If you'd like to work with me at the University of Toronto, please apply to the PhD programs in both the Department of Statistical Sciences and the Department of Computer Science.
Biography
I am an Assistant Professor of Statistical Sciences at the University of Toronto, a Faculty Member at the Vector Institute for Artificial Intelligence, and a Faculty Affiliate at the Schwartz Reisman Institute for Technology and Society. I am also a Junior Research Fellow of Trinity College at the University of Cambridge, an Associate Member of the Department of Computer Science at the University of Oxford, a Faculty Associate at Harvard University’s Berkman Klein Center for Internet and Society, and an AI Fellow at Georgetown University’s Center for Security and Emerging Technology. Before joining the University of Toronto, I was an Assistant Professor and Faculty Fellow at New York University. I hold a PhD in Computer Science from the University of Oxford, where I was a Qualcomm Innovation Fellow and Rhodes Scholar.
See my personal webpage for more information.
Appointments
Assistant Professor of Statistical Sciences, University of Toronto
Faculty Member, Vector Institute for Artificial Intelligence