Erik is an incoming CS PhD student at UC Berkeley, advised by Stuart Russell. He is interested in developing techniques for aligning AI with human values that could scale to very powerful future AI systems. Previously, he has worked on reward learning with the Center for Human-Compatible AI, focusing on interpretability of reward models and on a better theoretical understanding of the structure of reward functions. Before joining Berkeley, Erik did a MSc in Artificial Intelligence at the University of Amsterdam, and an undergrad in physics at the University of Heidelberg. For more information about his research, see his website https://ejenner.com.