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Zhangdaihong Liu

Jessie graduated in 2020 with a PhD in Mathematics for Real-World Systems.

Former PhD student in the CDT of Mathematics for Real-World Systems at University of Warwick, co-supervised by Thomas Nichols (BDI, University of Oxford) and Jianfeng Feng (Computer Science).


Enrichment student: The Alan Turing Institute (2017-2018).
MathSys at University of Warwick (2014-2015).
Mathematical Finance at Loughborough University (2013-2014).
Exahange year: Mathematics at Loughborough University (2012-2013).
BSc: Mathematics and Applied Mathematics at Shandong Universitiy, China (2009-2013).

Current Research

My research area is in computational neuroimaging and behaviours. Previously, I worked with the Human Connectome Project (HCP) data, exploring relationships between human behaviours and brain connectivity using multivariate analysis and latent factor models. I have also extended the study to the UK Biobank data.

Previous Research

I carried out a project entitled “Spreading of Water Waves” for my undergraduate dissertation under the supervision of Prof. Phil McIver in Loughborough University. In this project, I investigated how a water wave spreads out from a given initial disturbance and developed mathematical descriptions in both two-dimensional and three-dimensional spaces.

For my Master’s degree of Mathematical Finance, I undertook a research project in financial engineering entitled “Simulating Sample Paths of Stochastic Processes Arising in Financial Engineering”. This project concentrated on using different methods to simulate the paths of Brownian and geometric Brownian motions, and their applications in option pricing.

MathSys Group project: Using Multi-omic Cancer Data to Find Ways to Improve the Treatment of Bladder Cancer.

MathSys Individual project: Survival Following Pancreatoduodenectomy in England: Perspectives from the HES Database. The abstract of this work was accepted and presented at the Pancreatic Society of Great Britain & Ireland Annual Scientific Meeting in November, 2015.

Details of all above projects can be found on Github.


Academically I am interested in machine learning, multivariate analysis, latent factor models, feature selection, predictive modelling and reproducible studies.
Non-academically my interests include piano, bridge and badminton playing.