Data Champions Search

As the Research Support Librarian at the Department of Engineering I am part of the Technology Libraries team providing library services for the Departments of Engineering, Chemical Engineering and Biotechnology, and Computer Science and Technology. My role includes providing training and advice on research data management and open data. I became a Data Champion in my previous role as the Library Manager at the Cambridge Conservation Initiative, supporting nature conservation researchers from the university and NGOs. I have previous experience, from research during masters degrees, working with ethnographic data in libraries and statistical analysis of palaeobiology data using R.

Hi I'm Michael, I was appointed the new Research Laboratory Technician within the CCMM group at the Department of Materials Science and Metallurgy. I have a BSc in Chemistry and an MSc in Nanomaterials and Materials Science but what I am passionate about is computers whether that be software or hardware. I am always looking to advance my skills and help others do so which is why I joined the Data Champions.

Before joining the Engineering Library in 2017, I worked in a variety of roles around Cambridge, including supporting researchers with effective communication of their work. I currently support resource and training provision in areas including research skills, open access, reference management etc.

Additional areas of expertise:

Information literacy, research communication, social media use for researchers.

Dr Ulla Sovio, Senior Research Associate in Applied Medical Statistics, studies the prediction of adverse pregnancy outcomes. Her research interests include clinical risk prediction, development of screening tools, and application of longitudinal growth modelling and time-to-event analysis methods. Sovio is currently analysing biomarker data to further improve the identification of high risk pregnancies.

Website:

http://www.obgyn.cam.ac.uk/staff/research-staff/ulla-sovio/

Additional areas of expertise:

Medical statistics, epidemiology, pregnancy research, longitudinal modelling, prediction modelling, survival analysis, biomarkers, Stata.