I am a first-year Ph.D. student at UCL AI Centre supervised by Prof. Marc Deisenroth. I am interested in designing efficient and scalable Bayesian inference methods and applications in robotics, reinforcement learning, and probabilistic programming. I am currently interested in how representation learning (e.g., deep neural networks) can be combined with Bayesian methods to improve learning agents’ generalization in transfer-learning settings. Before this, I graduated with first-class honors from the Department of Computing, Imperial College London. During my time at Imperial, I worked on Gaussian processes, reinforcement learning, deep conditional generative models (VAEs) and probabilistic programming languages (PPLs).