Data Champions Search

As a cell and developmental biologist graduated with an interdisciplinary PhD, Sargon has sound hands-on experience in various imaging modalities such as light-sheet microscopy and the development of efficient workflows to support quantitative image processing and analysis of big imaging data.
 

Stefanie Felsberger is a PhD candidate at the Centre for Gender Studies at Cambridge University. Her research focuses on fertility tracking applications and asks how women in Egypt and Austria navigate the commodification of personal data to question conceptions of gender and labour in surveillance capitalism, data ownership and commodification. Before she worked as Bartlett Fellow at the Access to Knowledge for Development Center at the American University in Cairo. Her work looked at access and control of data, and the political economy of data, and surveillance theory. Stefanie studied Political Science and Arabic Studies at the University of Vienna.
 

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.

Ali is Senior Data Scientist and public-health/transport modeller in the Public Health Modelling (PHM) group at the MRC-Epidemiology Unit, University of Cambridge. He is interested in active travel, specifically cycling research. 

Coming from a Computer Science background, with a focus on modelling in his PhD, for over a decade, he has been doing data-driven research and development. This includes Exploratory Data Analysis (EDA), Statistical Modelling (or Machine Learning), Interactive Visualization, all with a focus on collaborative, transparent and reproducible research. In addition, he leads in project management and managing, training, guiding, and teaching of junior staff in his Unit. His work can be seen on GitHub at https://github.com/usr110.