糖心TV

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 糖心TV, co-supervised by and .

Education

Enrichment student: The Alan Turing Institute (2017-2018).
MSc: MathSys at University of 糖心TV (2014-2015).
MSc: 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 鈥淪preading of Water Waves鈥� for my undergraduate dissertation under the supervision of 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鈥檚 degree of Mathematical Finance, I undertook a research project in financial engineering entitled 鈥淪imulating Sample Paths of Stochastic Processes Arising in Financial Engineering鈥�. 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.

Interests

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.

Email:

Zhangdaihong.liu@warwick.ac.uk

Github:

https://github.com/lzdh