Also an 'Open Philanthropy AI Fellow'

Advisor: Stuart Russell
Research on objective robustness and learned optimization

Johannes Treutlein is an incoming PhD student in Computer Science at UC Berkeley. 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 objectives 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. For more information, visit his website.