Dequn Teng | Department of Engineering
Department of Engineering / Profiles / Mr Dequn Teng

Department of Engineering

Mr Dequn Teng Mr

dt517

Dequn Teng

Research Student

Academic Division: Manufacturing and Management

Research group: Strategy and Policy

Email: dt517@cam.ac.uk

Personal website


Research interests

I study how artificial intelligence changes the way people work and make decisions inside organizations. A core question driving my research is: when an algorithm steps in, does it take over, or does it empower?

To study this, I look at algorithmic trading, a setting where humans and algorithms collaborate intensively and the stakes are high enough to make those dynamics visible and meaningful.

I also study how AI technologies spread through economies and markets, particularly how new startups built around large language models compete with established companies, using large datasets and rigorous statistical methods to trace these patterns.

Underlying all of this is a simple but important conviction: as AI becomes more deeply embedded in organizations and societies, we need better theory to understand it and better tools to build it.

Teaching activity

Teaching in Engineering/Mathematics/Computer Science Department

2018 - 2026

  • Industrial Engineering (3P5) supervisor for three years on Method Study, Ergonomics, Lean Manufacturing, Work Measurement, Factory Layout Planning, Reliability, and Maintenance with Dr. Veronica Martinez (Weekly)
  • Hosted the bi-weekly brain teaser session about A Practical Guide To Quantitative Finance Interviews at the Cambridge University Algorithmic Trading Society with Dr. Farouk Hadeed (Weekly, 20 sessions so far)
  • Software Engineering, signals and systems, databases, at the University of Liverpool, available online

Teaching in Judge Business School and Policy Groups

2022 - 2026

  • Cambridge Teaching & Learning Recognition Scheme (Cycle 3) for associate fellow of the higher education academy
  • Initialize Organizational Theory and Information System reading club, self initialized for based on Management and Organization Theory, and the reading materials from Organization Theory (ISO3) (Weekly for 8 weeks)
  • Strategic management at Judge with Dr. Chris Coleridge on resource, ecosystem, and agility/innovation view
  • Marketing (MS6) at Judge with Dr. Shasha Lu focusing on rational/emo needs, involvement in decision-making