Nicholas is a research scientist at Google Brain working at the intersection of machine learning and computer security. His most recent line of work studies properties of neural networks from an adversarial perspective. He received his Ph.D. from UC Berkeley in 2018, and his B.A. in computer science and mathematics (also from UC Berkeley) in 2013. Generally, he is interested in developing attacks on machine learning systems; most of his work develops attacks demonstrating security and privacy risks of these systems.