Data Champions Search

Alexandra Gushurst-Moore is the Research & Impact Coordinator of the Fitzwilliam Museum and Coordinator of Cambridge Visual Culture. Her doctoral thesis, entitled “The Making of Modern Fantasy in the Visual Arts of England, ca. 1850–1920”, was supervised by Elizabeth Prettejohn at the University of York. She holds an MA(Hons) from the University of Edinburgh and an MSt from the University of Oxford. Beyond her research, she has professional experience of and interest in British educational policy, the strategy and operation of HEIs and the facilitation of inclusive and supportive research cultures.

Additional areas of expertise:

Neuroscience data

Dequn (Peter) Teng is a Ph.D. candidate supervised by Dr. Veronica Martinez in the Business Model Innovation Group at the Institute of Manufacturing. His current research area is on blockchain and machine learning integrated methods for supply chain management.
   
Dequn graduated from University of Liverpool (2+2 route) with a first class honours degree in Computer Science and Electronic Engineering. His past research experiences relate to blockchain and digital innovation, with peer reviewed conference paper publications on IEEE Xplore and EI. Additionally, He has ten invention patent applications under substantive review process, ranging from Blockchain and Mechanical Design Innovation. For industrial exposure, he has taken research internships at Deutsche Bank (Shanghai) for digital transformation research, and Unilever (UK) for PowerBI visualization. Moreover, he loves mathematical modelling and was awarded Meritorious Winner at the Mathematical Contest in Modeling.

I am bioinformatician who has been working in Cancer Research UK Cambridge Institute since 2017. I have a background in biology and have experience with HPC, version control, R and python, and confidential data. I work with big volumes of cancer patient data on a daily basis.

Additional areas of expertise:

High Performance Computing (HPC) - cluster.