Published multiple papers, including significant works such as 'A mathematical theory of semantic development in deep neural networks' (PNAS, 2019) and 'High-dimensional dynamics of generalization error in neural networks' (ArXiv, 2017).
Research Experience
Leads the UCL Theory of Learning Lab, possibly with other relevant research experiences or positions prior to this role.
Background
Research interests include the theory of deep learning and its relation to brain learning mechanisms. The lab focuses on developing a mathematical toolkit suitable for analyzing and describing learning processes in the brain and mind.