Human–Algorithm Interaction
Analytical creativity, augmentation and the automation paradox — grounded in the UK algorithmic-trading industry.
PhD Candidate · University of Cambridge
Dequn
Teng
Institute for Manufacturing / Cambridge Trust Scholar / FRSA
I find signal in complex systems. My research asks how algorithmic innovation redraws the boundaries of organizations — pursued full-cycle, from fieldwork inside trading desks to models deployed live in markets.
Research Identity
When algorithms can analyze and create, what's left for the human? My research answers that for firms, markets, and the people inside them — working across theory and code to do one thing: find signal in complex systems.
11
Published & accepted papers — incl. Science ×2
20+
Manuscripts under review at FT50 / ABS 4 venues
7,000+
Subscribers across the LLM+ research community
£620K+
Research grants & funding (lead / co-applicant)
What I work on
Four streams, one question:
where does the human belong?
Gen-AI & Business Models
How generative AI reshapes value propositions, LLM agents and the firms built around them.
Venture Capital & Markets
Capital allocation under technological salience — cybersecurity, femtech, climate and the Global South.
Quantitative Finance & ML
Machine-learning trading strategies designed, backtested and deployed live in markets.
Selected Work