Daniel is a PhD student supervised by Máté Lengyel. At CBL, he works on understanding how contextual inference controls the creation, updating, and expression of the large ensemble of memories in the brain. He hopes to apply these insights to the design of artificial systems that can excel at multi-task learning and continual learning problems.
Prior to joining CBL, Daniel received an MSci in Biological Sciences from UCL, worked in the Biomathematics group at Imperial, and then returned to UCL for an MSc in Scientific and Data Intensive Computing.