Data Champions Search

I am a PhD student studying the compaction of pharmaceutical powders into tablets. My main focus is on computer simulations but I make intensive use of experimental data to parametrise and validate my models. I like combining experimental and computational results as well as developing automated analysis methods. I also have experience working with large data sets and high-performance computing (HPC). Although my current research is on granular matter, my background is mainly in colloidal chemistry.

Dequn (Peter) Teng is a Ph.D. candidate supervised by Dr. Veronica Martinez in the Business Model Innovation Group at the Institute of Manufacturing. His current research area is on blockchain and machine learning integrated methods for supply chain management.
   
Dequn graduated from University of Liverpool (2+2 route) with a first class honours degree in Computer Science and Electronic Engineering. His past research experiences relate to blockchain and digital innovation, with peer reviewed conference paper publications on IEEE Xplore and EI. Additionally, He has ten invention patent applications under substantive review process, ranging from Blockchain and Mechanical Design Innovation. For industrial exposure, he has taken research internships at Deutsche Bank (Shanghai) for digital transformation research, and Unilever (UK) for PowerBI visualization. Moreover, he loves mathematical modelling and was awarded Meritorious Winner at the Mathematical Contest in Modeling.

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.  

Mandy Wigdorowitz is Open Research Community Manager for Cambridge University Libraries. She holds a PhD in Theoretical and Applied Linguistics from the University of Cambridge, St John's College, and is a registered Research Psychologist with a Masters in Social and Psychological Research from the University of the Witwatersrand. She is interested in the benefits of open research practices across all research disciplines and is building a community that promotes open research at Cambridge. Her research focuses on understanding language and interaction from linguistic, social, cognitive, and psychological perspectives. Mandy is also the Associate Editor for the Journal of Open Humanities Data, which publishes data papers in disciplines spanning the Humanities.