My research interests focus around machine learning methods for network embedding methods, examining these from a statistical perspective and seeking methodological improvements of these methods. I’m also interested in the implications of using the learned embedding vectors for different downstream tasks in machine learning. See my Research page for a more detailed breakdown about my current thoughts and interests.
Prior to beginning my PhD, I completed my undergraduate (BA) and masters (MMath) degrees in Mathematics at Kings’ College, University of Cambridge. In my (vanishing amounts of) spare time, I like to cook, bake and go rock climbing and bouldering.