David is an Assistant Professor at the University of Cambridge. He is a member of Cambridge's Computational and Biological Learning lab (CBL), where he leads a research group focused on Deep Learning and AI Alignment. David’s current research interests include: 1) formalizing and testing AI Alignment concerns and approaches, especially to do with learning reward functions, 2) understanding Deep Learning, and 3) techniques for aligning foundation models. His previous research has spanned many areas of Deep Learning, including generative modeling, Bayesian Deep Learning, empirical theory, and robustness. He is also a CSER research affiliate, and previously studied at Mila / University of Montreal, and Reed College; interned at the Future of Humanity Institute, DeepMind, and ElementAI; and worked as a contract writer for the Partnership on AI, and a career counselor for 80,000 Hours.