Research
We study the science of digital clones — how to faithfully reproduce individuals and collectives as manipulable computational objects, and how to deploy them in governance, content, and agent systems.
Publications & Papers
1 ItemsResearch Areas
Four DirectionsBehavioral Modeling
Capturing stable individual dispositions and context-sensitive action patterns from trace data — comments, votes, transactions — rather than questionnaires.
Audience Cognition
Cloning the cognitive diversity of a community — segmenting viewers by attention, reasoning style, and risk cognition instead of demographics.
Governance Simulation
Forecasting collective outcomes before real votes take place — token-weighted simulation over digital clones of on-chain participants.
Personality Transfer
Data-efficient fine-tuning that transfers stable personality into compact backbones — schema-first prompts, PEFT, and psychometric evaluation.
Team
Digital Clone InitiativeKani Chen
Lab Director · Professor
Department of Mathematics, HKUST
Director of the HKUST Crypto-Fintech Lab. Professor in the Department of Mathematics and the Department of Industrial Engineering & Decision Analytics. PhD in Statistics from Columbia University (1994); BSc & MSc from Peking University. Research spans statistics, mathematical finance, and the commercialization of fintech research, with a focus on nurturing student-led startups.
Zhenhang Shang
Researcher
Crypto-Fintech Lab, HKUST
Digital Clone initiative at the Crypto-Fintech Lab. Works across the full stack of the lab's audience-cognition and behavioral-modeling projects.
Jianda Mao
Researcher
Crypto-Fintech Lab, HKUST
Contributor to the lab's digital clone and AI-agent research lines.
Yingzhe Yu
Researcher
Crypto-Fintech Lab, HKUST
Contributor to the lab's digital clone and AI-agent research lines.