Data Champions Search

My day-to-day job mostly involves helping postdocs and UTOs manage research funding applications and awards, through which I found myself receiving lots of questions about GDPR, research data management, and data management plans. I joined the Data Champions in order to help provide answers, and to be able to give applicants and award-holders in my department access to the network's excellent information and resources.

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

Elizabeth has an MPhil in HPS from Cambridge and has worked for the Newton Project Canada. She has worked for the Darwin Correspondence Project for more than fifteen years, and assisted in the conversion of the Project's core files to TEI XML, and is now developing and implementing strategies to ensure the quality, robustness, interoperability, and long-term viability of our electronic data. She is a co-founder of Epsilon, a nineteenth century science letters platform and has been a guest lecturer at the Digital Humanities at Oxford Summer School.