David Pfau, a research scientist at Google DeepMind, discusses manifold factorization, deep learning for quantum mechanics, and picking research problems. He explores optimization on manifolds, projective representation theory in physics, and metrics in AI. Pfau also delves into understanding rotations in vision, topology-preserving methods, and scalability in AI development.