About Me

I am a Research Scientist at Google DeepMind, working on Gemini.

Previously, I was a PhD student in the Machine Learning Group at the University of Cambridge. I was supervised by José Miguel Hernández-Lobato, and was a member of Darwin College. My funding was from the EPSRC, the Michael E. Fisher Studentship in Machine Learning, and a Qualcomm Innovation Fellowship. I was also a part of the ELLIS PhD program, where I was 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.

During my PhD, my primary research interests were Bayesian deep learning, deep generative models, and the general intersection between probabilistic methods and deep learning. I am also interested in ML for science, sustainability, and climate change. Take a look at my publications and talks. You can also take a look at my Google Scholar page.