Johannes Treutlein

Johannes is a first year PhD student advised by Stuart Russell. He is broadly interested in empirical and theoretical research to ensure that AI systems remain safe and reliable with increasing capabilities. He is currently working on investigating learned optimization in machine learning models and on developing models whose goals generalize robustly out of distribution. Previously, Johannes studied computer science and mathematics at the University of Toronto, the University of Oxford, and the Technical University of Berlin. He is also a former CHAI intern. For more information, visit his website.