Data Champions Search

In my role as Academic Services Librarian, I manage services delivered in the Haddon Library with a specific focus on supporting teaching and research for the Departments of Archaeology and Social Anthropology. I am also the Research Support Lead for the Humanities and Social Sciences Libraries Team, working across the School of HSS to support research excellence and training as well as assisting in exercises such as the REF.

Additional areas of expertise: Information literacy, Research communication, Public engagement, Creative Commons, Open sharing.

I am a researcher and educator in paleoanthropology and biology. Currently, I am developing machine learning and AI applications for human evolutionary studies with the University of Cambridge Leverhulme Center for Human Evolutionary Studies and the Alan Turing Institute.

I’ve been working in the Department of Psychiatry for almost a decade now. I specialise in improving process and workflow and in research data management. I also work in branding, digital recruitment, website design and administration, social media management, and data architecture. I am particularly good at thinking of new and creative solutions to emerging problems. I am currently working on ways to govern and organise the many research projects within my department and in the School of Clinical Medicine, and on creating ways to share research and imaging data (MRI, PET etc) openly.  

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.