Dequn Teng (he/him) is a third-year Ph.D. candidate in Engineering at the University of Cambridge’s Institute for Manufacturing (IfM), where he is supervised by Prof. Tim Minshall at the Center for Technology Management, and advised by Prof. Yeun Joon Kim from Cambridge Judge Business School (CJBS). His doctoral research examines human–algorithm interactions' effects on analytical creativity in algorithmic trading, fully funded by Cambridge Trust International Scholarship. 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.

Dequn has presented his work at the Academy of Management Annual Conferences and is actively developing and revising manuscripts for Financial Times Top 50 Journals such as the Strategic Management Journal, Information Systems Research, and the Journal of Management Studies. He also serves as a Research Assistant in the International Business and Strategy Group under Prof. Christopher Marquis 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’s Computer Science Department, studying Algorithms (CS161) and Artificial Intelligence (CS221).

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 (CJBS). He co-founded LLMQuant and serves as Academic Collaboration Lead with initialized machine learning sessions the Peking University Quant Trading Association. He is also the Vice President of the Cambridge Algorithmic Trading Society (CUATS), fostering interdisciplinary collaboration in algorithmic trading research and practice.

Linkedin:

https://www.linkedin.com/in/dequn-teng/

Publications:

https://scholar.google.com/citations?user=o4wtQCdfidYC

Personal Website:

https://dequnteng.com/