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
As algorithms learn to analyze and create, my research asks where the human still matters — and what the answer means for firms, markets, and the people inside them. I work across theory and code: ethnography on trading floors, large-scale evidence on venture capital and Gen-AI, machine learning running live in financial markets. One instinct runs through it all — finding 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
Featured publications
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A Loneliness Cure
DOI 10.1126/science.adp6654
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Changing Outdated Expectations
DOI 10.1126/science.adn4211
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Gen-AI's Effects on New Value Propositions in Business Model Innovation
DOI 10.1016/j.technovation.2025.103191