I am a PhD student in the Machine Learning Group at the University of Cambridge. I expect to finish in March 2024, and I’m looking for job opportunities in industry. I’m supervised by José Miguel Hernández-Lobato, and a member of Darwin College. My funding is from the EPSRC, the Michael E. Fisher Studentship in Machine Learning, and a Qualcomm Innovation Fellowship. I’m also a part of the ELLIS PhD program, where I am advised by Eric Nalisnic at AMLab UvA. Before starting the PhD, I worked for Wolfram Research where I was a developer for the deep learning library for Mathematica.
I hold an MPhil in Advanced Computer Science from the University of Cambridge, which was supervised by Zoubin Ghahramani and Christian Steinruecken, and a BSc in Electrical and Information Engineering from the University of the Witwatersrand in Johannesburg. See my CV for more details.
My primary research interests are Bayesian deep learning, deep generative models, and the general intersection between probabilistic methods and deep learning. I am also interested in ML for science and climate change. Take a look at my publications and talks. You can also take a look at my Google Scholar page.