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.

I am a PhD student studying the compaction of pharmaceutical powders into tablets. My main focus is on computer simulations but I make intensive use of experimental data to parametrise and validate my models. I like combining experimental and computational results as well as developing automated analysis methods. I also have experience working with large data sets and high-performance computing (HPC). Although my current research is on granular matter, my background is mainly in colloidal chemistry.

My background is neuropsychology, and later, computational neuroscience. During my studies, I developed strong skills in applied data science and machine learning, as well as fundamental knowledge of neural computation. Currently, I am based in the Cambridge Centre for Neuropsychiatric Research, where our team is working on biomarker discovery for neuropsychiatric disorders, as well as on developing algorithms for more data-informed diagnostics in mental healthcare.

Lyuba is a bioinformatics postdoc based at the MRC Mitochondrial Biology Unit. She is interested in better understanding the uncertainties and biases associated with data collection, and how they affect downstream bioinformatics analysis.