Why Knowledge Rarely Translates into Capital Allocation
Panel discussion on why deep research and technical knowledge rarely translate into capital allocation, and how ecosystem infrastructure can bridge this gap.
Speaking
Keynotes, panels and guest lectures for executives, investors, postgraduates and researchers. In English, or with live Chinese interpretation.
The most-requested talk: what supply chains actually are, where AI helps, where it fails, and what autonomy levels mean in practice.
How risk and capital ripple through supply networks, venture ecosystems and financial infrastructure — and how to measure it.
Why ecosystems, not companies, are the unit of work; how Cambridge produces startups; what "AI-native" really requires.
Past talks
Panel discussion on why deep research and technical knowledge rarely translate into capital allocation, and how ecosystem infrastructure can bridge this gap.
Roundtable and panel discussion on the evolution of impact investing, capital deployment, and scaling sustainable ventures.
Panel presentation on measuring real-world impact, commercializing academic IP, and building university-backed innovation pipelines.
Co-hosted innovation tea ceremony & venture discussion at Christ's College, Cambridge with Shirley Choo, hosting researchers, founders, and investors.
Lectures and panel sessions on AI in business operations, startup scaling, and early-stage venture formation.
Talk covering the transformative role of artificial intelligence in financial sectors.
Discussed upcoming trends in AI application across the finance industry.
Presentation on viable supply networks and cooperative locally decentralised financial control mechanisms.
Lecture on integrating AI strategically within business operations.
Presented ongoing research into artificial intelligence for supply chains at AI UK.
Invited talk on modeling the propagation of financial distress across supply networks.
Discusses fragmentation, epidemics, and adaptation within complex networks.
Explores how dynamic, decentralised criticality measures assign value to information flowing through complex networks.
Presented research on computing decentralised criticality and information value in dynamic systems.
Delivered insights into the theory and methodological applications of complex networks.
Showcased dynamic decentralised computation strategies for information valuation.
Initial findings on simulating financial ripple effects within supply networks.
Focuses on applying distributed criticality measures within telecommunication infrastructures.
Videos
What it actually means to build an AI-native startup from day one: nativity versus feature-layering, data versus refining infrastructure, and why knowledge integration is the moat.
How artificial intelligence is transforming capital allocation, risk modelling and financial infrastructure.