Rui-Yang Zhang

I am currently a final year Computational Statistics and Machine Learning PhD student of STOR-i CDT at Lancaster University supervised by Henry Moss and David Leslie, as a part of Moss’ MADD group.

My PhD is additionally supported by ARC TIDE Hub in Australia and collaborating with Lachlan Astfalck and Edward Cripps.

I am broadly interested in the Bayesian decision-making. In particular, my research focuses on developing sequential Bayesian designs – such as active learning and Bayesian optimization – for application areas including probabilistic numerics and ocean engineering.

I am also exploring what post-Bayesian ideas could offer for more robust and efficient decision-making, as well as what diffusion models could bring as more expressive and flexible priors.

I am currently co-organsing the Bayesian Experimental Design and Active Learning Seminar Series with friends and colleagues from Manchester and Oxford.

While at Lancaster, I set up and have been quite involved in the Lancaster AI Reading Group, a weekly reading group focusing on topics related to AI, such as diffusion models, reinforcement learning, and geometric deep learning. This group is supported by the ProbAI Hub.

Previously, I did BSc Mathematics and Statistical Science at UCL where I was mentored by Sam Livingstone and received a Royal Statistical Society Award.

Check out our BEDAL Seminar Series!!

News

  • [Oct 26] Will attend the ISBA BayesAI Workshop in Edinburgh.

  • [Oct 26] ArXived BOLD for Bayesian shape optimisation.

  • [Oct 26] Visiting Chris Oates’ group for the visiting fellowship.

Older News

Adapted from Adrien’s codes.