Dr Lewis-Peacock is passionate about understanding how human memory works. His research uses a combination of behavioural methods, functional neuroimaging, and computational approaches to study how people think, remember, and act. The Lewis-Peacock Lab at UT Austin specialises in applying machine learning algorithms to neuroimaging data in order to identify what an individual is thinking about from one moment to the next. Dr Lewis-Peacock uses this to evaluate core assumptions about the cognitive and neural bases of learning and memory. The broad goals of his research are (1) to observe how people control the flow of their thoughts, (2) to characterise the short-term and long-term consequences of these control processes, and (3) to identify opportunities for people to make better use of their mental capacities to remember things that ought to be remembered and to forget things that ought to be forgotten.