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.

PhD Student in Archaeology, working with mapping distributions of religious artefacts in Hellenistic sites in Afghanistan and Pakistan

I am an Affiliated Lecturer in Architecture and the Moving Image and a researcher working with large audio-visual datasets. I specialise in developing digital methodologies and database approaches for film and media research. I am currently the main researcher of the ‘CineMuseSpace: A Cinematic Musée Imaginaire of Spatial Cultural Differences’ project (cinemusespace.com).

Additional areas of expertise:

Audio-visual data analysis, film databases, metadata ontologies.

I am a neuroscientist studying human speech perception with the aim of advancing assistive speech (neuro)technologies and AI speech recognition systems. My background is in cognitive neuroscience and medicine.

I am an expert in human neurophysiology methods (electro- and magnetoencephalography, EEG/MEG) combined with machine learning and artificial neural network modelling (deep learning).

Since the beginning of my PhD, I’ve been passionate about reproducible and open science practices such as data and code sharing, and good coding practices including version control. In my department I am leading the adoption of the standardised Brain Imaging Data Structure (BIDS) for storing and sharing human neurophysiology (MEG/EEG) data.