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.

My interests lie in the ideation, innovation and translation processes for healthcare technologies in resource-limited settings. I am a Postdoctoral Research Associate in the International Health Systems Group (IHSG), Department of Engineering, funded by the NIHR Global Health Research Group on Acquired Brain and Spine Injury.

As Marshall Librarian I have taken an active role in supporting the Faculty of Economics with research. I have experience of supporting Open Access and Copyright. I have also completed Masters level training in RDM in my previous role at University of Sheffield. Craig Peacock, IT Manager in Economics, and I are working together as Research Data Champions in the Faculty. We are exploring training opportunities for undergraduates and all new postgraduate students in RDM and we have also given advice on completing ESRC Data Management Plans to academic staff making grant applications.

Florian Markowetz is a Senior Group Leader at the Cancer Research UK Cambridge Institute. He is a Royal Society Wolfson Research Merit Award holder and received a CRUK Future Leader in Cancer Research prize. He holds degrees in Mathematics (Dipl. math.) and Philosophy (M.A.) from the University of Heidelberg and a Dr. rer. nat. (PhD equivalent) in Computational Biology from Free University Berlin, for which he was awarded an Otto-Hahn Medal by the Max Planck Society. His group at the CRUK Cambridge Institute combines computational work on cancer evolution and image analysis of the tumour tissue with experimental work on understanding key cancer mechanisms like the estrogen receptor.