Data Champions Search

Amelie Roper is Research Facilitator at Cambridge University Library. Her role involves supporting grant applications for research funding for library activities, and assisting with project delivery once funding is awarded. 

She studied music at King’s College London and Library and Information Studies at University College London. She also holds a PhD in book history from the University of St Andrews. 

Her research interests include early modern European print culture, digital music publishing and big data.

Additional areas of expertise:

Neuroscience data

As Marshall Librarian I have taken an active role in supporting the Faculty of Economics with research. I have experience of supporting Open Access and Copyright. I have also completed Masters level training in RDM in my previous role at University of Sheffield. Craig Peacock, IT Manager in Economics, and I are working together as Research Data Champions in the Faculty. We are exploring training opportunities for undergraduates and all new postgraduate students in RDM and we have also given advice on completing ESRC Data Management Plans to academic staff making grant applications.

Dequn Teng (he/him) is a third-year Ph.D. candidate in Engineering at the University of Cambridge’s Institute for Manufacturing (IfM), Centre for Technology Management. His doctoral research examines human–algorithm interactions' effects on analytical creativity in algorithmic trading, funded by Cambridge Trust. His long-term research identity focuses on emerging algorithmic innovations' effects on strategic value creation, bridging insights from computer engineering, technology management, and organizational strategy. He also serves as a Research Assistant in the International Business and Strategy Group at the CJBS, where he contributes to research on regenerative innovations and strategies.

Prior to his Ph.D., Dequn completed an MPhil in Engineering (IfM, University of Cambridge) under Prof. Veronica Martinez, focusing on supply chain risk modeling with machine learning–enabled blockchain systems. He earned a first-class honors degree in Computer Science and Electrical Engineering from the University of Liverpool (2+2 routine) and further enriched his expertise as a visiting student at Stanford University.

Beyond academia, Dequn has gained industry experience through roles at Deutsche Bank and Unilever, as well as through venture creation activities at the Entrepreneurship Centre at CJBS. He is also the Vice President of the Cambridge Algorithmic Trading Society (CUATS), fostering interdisciplinary collaboration in algorithmic trading research and practice.

As an educator, Dequn supervise industrial engineering, strategic management, and marketing, and leads coding and analytics sessions—including Brainteaser and LeetCode sessions—within the CUATS, cultivating interactive learning experiences at the intersection of technology, strategy, and innovation.

Publications