Welcome!

I work on Bayesian deep learning -- all aspect about it, including (deep) probabilistic graphical model design, fast and accurate inference techniques, and the usage of uncertainty estimates in downstream tasks. In general I'm also interested in transfer learning, information theory and optimisation.

I'm finishing up at the machine learning group at the Department of Engineering, University of Cambridge. I am a member of Darwin College. I'd like to thank my fantastic supervisor Dr. Richard E. Turner, and my awesome committee members Prof. Zoubin Ghahramani and Dr. Sebastian Nowozin. During my PhD I've also been working closely with Dr. José Miguel Hernández-Lobato, Dr. Qiang Liu and Dr. Stephan Mandt , all of them are very smart.

I have finished a draft PhD thesis on approximate inference, and as a side product here's an incomplete list of topics in approximate inference.