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Simulating the Future of Markets

Emerging technology markets are shaped by how people interpret, adopt, and respond to change.

I use data-driven modeling and AI-based simulation to study how technologies spread, how demand changes, and how markets evolve. My work focuses on turning complex data from mobility, energy, and finance into useful insights for better decisions.

Market Simulation Architect · LLM Agent Researcher

Architecting the convergence of technology and real-world demand.

Image generated by Gemini and Kling

Research Architecture (4 Spaces)

Behavioral Market Modeling

Quantifying consumer preference and potential market shifts across domains such as mobility, energy, and finance using statistical behavioral modeling.

#Consumer-Demand

Simulation with AI agents

Simulating human reasoning processes via high-fidelity synthetic agents by integrating behavioral theories with LLM architectures.

#Agent-Simulation

Tech-Mining & Innovation Trajectory

Decoding the supply-side evolution of technology through Semantic Main Path Analysis to predict where industries are heading.

#Innovation-Supply

Applied Data Intelligence

Engineering reliable, data-driven decision engines and RAG-based systems for real-world applications.

#Data-Analytics
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Recent Lab Notes

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Recent Life & Essays

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LIFE_SIM ... pings still somehow running