The goal of my research is to discover new principles of neural computation. In particular, I am interested in understanding how neural networks learn to perform difficult computations, such as probabilistic inference in deep generative models. My approach is to combine techniques from machine learning, statistical physics and neuroscience.
Academic biography: I received an undergraduate degree in Theoretical Physics from Trinity College Dublin in 2006, and an M.Sc in Sparse Coding in 2007. I completed a Ph.D in Computational Neuroscience and Machine Learning at the Gatsby Unit, UCL, with Prof. Peter Latham and Prof. Prof. Peter Dayan in 2012. After my PhD, I held a joint-research position at the École Normale Supérieure, Paris and the Champalimaud Centre for the Unknown, Lisbon. In May 2014, I joined the Computational and Biological Learning Lab at Cambridge University, where I have been working with Máté Lengyel. I am also a College Research Associate at St John's College, Cambridge.
Last updated: July 2015