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My interests lie in the ideation, innovation and translation processes for healthcare technologies in resource-limited settings. I am a Postdoctoral Research Associate in the International Health Systems Group (IHSG), Department of Engineering, funded by the NIHR Global Health Research Group on Acquired Brain and Spine Injury.

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.

Soniya Gupta-Rawal is a PhD student in Quantitative Marketing, advised by Professor Jaideep Prabhu at Judge Business School, University of Cambridge. She is a Commonwealth Masters Scholar 2021 and Mitsubishi Scholar 2016. Her interest lies in the empirical analysis of marketing problems at the intersection of business innovation, social impact, and marketing strategy. Soniya's current research focuses on developing the matching algorithm for mentors and nano-entrepreneurs in India by employing machine learning and econometric modelling.

Soniya’s 7+yrs of experience as a researcher in emerging markets fuels her inspiration to contribute to the sustainable business ecosystem as she has held positions as a Researcher at the Department of Strategic Marketing, MICA, India; Research Fellow at the Centre for Advanced Studies in Policy Research; and Research Consultant at Ernst & Young, Global Delivery Service, India. She has interned at Grant Thornton, EY India, Urban Company and Parliament of India. She is constantly learning and developing a comprehensive understanding of the working of markets and individuals at the intersection of the market, social and academic spheres.