Dr Yin-Cong Zhi
I am a postdoctoral researcher in machine learning for infectious diseases. I am part of Oxford Population Health at the Big Data Institute, and a member of the Chami Group working on the SchistoTrack project.
The group works on all-aspect studies relating to Schistosomiasis in Uganda, my focus is on providing a Bayesian perspective to modelling multi-morbidities in patients, to understand the broad spectrum of morbidities that schistosomiasis can cause and how they affect each other. In addition, I am looking to apply graph-based machine learning to model the disease progression using the data collected by our Ugandan team.
Prior to joining this group, I completed my DPhil in Machine Learning at the University of Oxford. My thesis looked into developing Gaussian processes for graph data, to expand on the literature of Bayesian methods for learning on graphs as opposed to the common graph neural networks. The tools I used included kernel methods, Bayesian inference, multi-scale modelling, and in particular graph signal processing to study modelling from a spectral domain perspective.
Outside work, I have a lifelong hobby of making origami, and enjoy watching and playing football.
Gaussian Processes on Graphs Via Spectral Kernel Learning
Zhi YC. et al, (2023), IEEE Transactions on Signal and Information Processing over Networks, 9, 304 - 314
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets
Opolka FL. et al, (2022), Proceedings of Machine Learning Research, 151, 4818 - 4834