Daniel Kirste

Daniel Kirste is a Postdoctoral Researcher at the Technical University of Munich (TUM) Campus Heilbronn, working in the Chair of Information Infrastructures under Prof. Ali Sunyaev. His research focuses on cryptoeconomic systems, decentralized finance, and automated market makers, bridging computer science and economics through practical implementations.

He earned his PhD in Information Systems from Karlsruhe Institute of Technology (KIT) and brings four years of industry experience as a Research Engineer at Robert Bosch GmbH in Stuttgart. This dual background informs his applied research approach in blockchain and cryptoeconomics.

Kirste's work centers on optimizing automated market makers (AMMs) in decentralized finance, addressing liquidity concentration, market quality impacts, and thin market challenges. His research integrates stochastic optimization, distributed systems, and machine learning to enhance token exchange mechanisms and financial infrastructure.

His recent publications demonstrate a cohesive trajectory in cryptoeconomic system design, with emphasis on AMM efficiency, CBDC architectures, and market microstructure analysis. Key contributions include liquidity optimization frameworks, hybrid digital currency models, and empirical studies on AMM-driven market dynamics.

As an active member of TUM's Chair of Information Infrastructures, Kirste collaborates on interdisciplinary projects at the intersection of computer science and economics, leveraging his industry experience to develop real-world solutions for blockchain-based financial systems.