Data Champions Search

Shujing (Jing) is a PhD student at the Institute of Criminology. Her primary research interests encompass organised crime, drug market, crime data, and social network analysis. Additionally, she has a diverse range of interests that extend to evidence-based policing, decision-making process, and experimental criminology.

Abdulwahab is a PhD student in Physical Activity Epidemiology, advised by Dr. Soren Brage at the MRC Epidemiology Unit, University of Cambridge. He is a recipient of the Kuwaiti High Science Achiever PhD Scholarship by the Kuwait Foundation for the Advancement of Sciences and the Kuwait Chamber of Commerce and Industry and was previously awarded a full Bachelor's and Master's Scholarship from the Kuwait Ministry of Higher Education. His interests lie in the analysis of accelerometer-measured physical activity data in different populations and related disease endpoints. He previously studied adolescent physical activity behavior in relation to mental well-being. His current research interest is in the analysis of physical activity behavior in the Arabian Gulf in relation to metabolic disease incidence.

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 post-doctoral physicist working in the Department of Radiology, with a background in programming and a particular interest in medical image analysis and software design. I am currently involved in setting up and maintenance of processes for data storage, sharing and archiving for the department - with particular emphasis on medical research image data.