I am a first year Ph.D. student at the University of Edinburgh, where I work in ILCC within the School of Informatics. My supervisor is Christopher Lucas. During my B.Sc. and M.Sc. I worked with Frank Jäkel at the University of Osnabrück and with David Lagnado at UCL London. I want to understand how the (human) mind represents the world and how this representation allows generalization and transfer. To analyze this I compare human learning and generalization with performance and dynamics of machine learning algorithms and computational models.
My current Ph.D. topic - How do we represent relationships between data and how does this representation allow for extrapolations beyond learned instances?
My M.Sc. topic - What is the representational form of causal knowledge, do we adhere to the Markov Assumption?
My B.Sc. topic - How do chess experts - in contrast to novices represent positons and what characteristics does this categorial structure have?
Causal Inference and Generalization in Humans and Machines
Prof. Dr. Christopher Lucas
Causal Reasoning and the Markov Assumption in a Physical Microworld
Prof. Dr. Frank Jäkel, Prof. Dr. David Lagnado
Categorization in Chess
Prof. Dr. Frank Jäkel