Bio

Sam is a PhD student in Computer Science at the University of Cambridge. His research sits at the intersection of machine learning and the psychology of human learning, and he is broadly interested in whether, and in what circumstances, neural networks learn like humans. He aims to shed light on the complex learning dynamics, and surprisingly effective learning behaviour, of modern neural networks, using methods from psychology and cognitive science. Previously, Sam obtained his master’s in deep learning and natural language processing, also at Cambridge, and his bachelor’s in Computer Science from the University of Manchester. In between, he’s simulated financial crises in market risk at Goldman Sachs, built new retail banks at Thought Machine, and developed next generation credit scores at Credit Kudos. At the Turing, Sam is interested in applying his research to the domains of machine learning fairness and interpretability.