I grew up in China, and graduated with a BSc in Mathematics from the University of Manchester in 2019, specialising in both statistical machine learning and numerical linear algebra. I worked on the statistical interpretation of advanced machine learning methods in my bachelor thesis, and I also completed another project to analyse the convergence properties and sensitivity of the PageRank algorithm. During my undergraduate studies, I undertook internships in data analysis and machine learning, where I built an automatic warning system for abnormal user data detection. My main research interests are statistical inference and modelling for neuroimaging analyses, with particular regard to fMRI data. Outside of studies, I enjoy reading, baking and travelling.
After the first year CDT training, I am now working on exploring model-based methods and constructing Bayesian predictive frameworks for neuroimaging meta-analysis, supervised by Professor Nichols at the Big Data Institute.