People
The team is organized by department, with the founding director coordinating cross-department work on blockchain and crypto markets across empirical methods, mechanism design, algorithms, experiments, and AI.
Department
Coordinates the lab's blockchain and crypto research departments and leads empirical causal-inference work on DeFi, token markets, and cryptocurrency ecosystems.
Founding Director and Department Coordinator
Lab Leadership and Empirical Causal Inference
Adrasteia Labs; Research Assistant at The University of Hong Kong
Founder of Adrasteia Labs. Heikichi Hayashi coordinates the lab's blockchain and crypto research departments and leads empirical causal-inference research on DeFi and cryptocurrency markets.
Department
Runs experimental work on blockchain markets, crypto incentives, algorithmic game theory, and mechanism-design experiments for decentralized systems.
Research Collaborator
Blockchain Experimental Economics
Sun Yat-sen University
Advisors: Prof. Wanlin Lin, HKU-ICCDS and Sun Yat-sen University; Prof. Peng Wang, The University of Hong Kong
Collaborating researcher working on blockchain experimental economics, crypto incentive experiments, algorithmic game theory, and mechanism-design experiments.
Department
Develops empirical research on blockchain data, DeFi, digital assets, crypto trading behavior, macro-finance linkages, and market evidence.
Core Member, Empirical Research
Empirical Economics
University of Wisconsin-Madison, Department of Economics
Core member contributing empirical research on blockchain data, crypto market behavior, digital assets, and evidence-driven analysis for lab projects.
Core Member, Empirical Research
Empirical Economics
Federal Reserve Bank of Minneapolis
Core member conducting empirical research on DeFi, macro-finance, blockchain data, and crypto market behavior.
Research Collaborator
Empirical Economics
The University of Chicago
Research collaborator conducting empirical research in economics and political science, with interests connected to blockchain governance, crypto markets, and digital economic systems.
Department
Builds the lab's computer science theory, algorithmic, and AI research capacity for blockchain protocols, crypto markets, and decentralized finance.
Core Member
CS Theory, Algorithms, and AI
University of Chicago, Department of Computer Science
Core member focused on computer science theory, algorithms, and AI for blockchain systems, crypto market design, and economic computation.
Core Member
CS Theory, Algorithms, and AI
University of Michigan, Ann Arbor, Computer Science and Engineering
Core member focused on computer science theory, algorithms, and AI methods for blockchain analytics, crypto infrastructure, and interdisciplinary research.
Department
Studies theoretical algorithmic game theory, mechanism design, and incentive systems for blockchain, DeFi, and crypto market infrastructure.
Core Member
Theoretical Algorithmic Game Theory and Mechanism Design
Boston College, Economics Department
Core member focused on theoretical algorithmic game theory, mechanism design, and incentive foundations for blockchain and crypto market design.
Core Member, Economic Theory
Theoretical Algorithmic Game Theory and Mechanism Design
Zhongnan University of Economics and Law, School of Economics
Core member working on cryptocurrency and blockchain research through algorithmic game theory, mechanism design, and crypto market incentives.