Find a Data Champion

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.

I'm a research fellow working to improve data management practices broadly across the materials and chemical sciences, with the aim to accelerate discovery and enable new data-driven approaches in the physical sciences. I lead the development of the decentralised open source RDM platform, datalab, used by several labs in Cambridge and beyond to track sample provenance, ingest raw characterisation data from instruments and easily disseminate data within and between labs. datalab has been designed primarily with materials chemistry and battery groups in mind, but has been extended to work for polymer research, direct air capture and autonomous labs. I also work extensively on API standardisation for crystal structure databases, via my involvement in OPTIMADE. I am very happy to discuss how people can engage with this work if they are in this domain, or how the approach could be adopted by other domains.

Before starting my current role, I completed my undergraduate studies in Theoretical Physics at the University of Manchester, after which I joined the University of Cambridge for an MPhil in Scientific Computing and subsequent PhD in Physics where I worked on crystal structure prediction for battery materials. I then joined UCLouvain in Belgium for a postdoc and research fellowship, before making my way back to Cambridge in 2025 as a Leverhulme Trust Early Career Research Fellow.

I am a postdoctoral researcher working on data and wet lab projects at the Wellcome Sanger Institute. I combine hands-on laboratory work with computational analysis, helping to generate, process, and interpret biological data. My work sits at the interface of experimental biology and data science.