I am Daniel Kirste, a Postdoctoral Researcher at TUM Campus Heilbronn, specialized in Cryptoeconomic Systems, Decentralized Finance, and Automated Market Makers. With a strong Computer Science background and a passion for economics, I earned my PhD in Information Systems from Karlsruhe Institute of Technology (KIT). With four years of experience as a Research Engineer in the corporate research department at Robert Bosch GmbH in Stuttgart, I apply my expertise to develop and implement practical solutions in cryptoeconomics and machine learning.
My research interests are cryptoeconomic systems, distributed systems, and machine learning.
Zeller, Simon Caspar; Kandora, Paul-Niklas Ken; Kirste, Daniel; Kannengießer, Niclas; Rebennack, Steffen; Sunyaev, Ali: Automated Market Makers: A Stochastic Optimization Approach for Profitable Liquidity Concentration. Institute of Electrical and Electronics Engineers (IEEE), 2025, more…BibTeX
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2024
Journal Articles
Kirste, Daniel; Poddey, Alexander; Kannengießer, Niclas; Sunyaev, Ali: On the influence of conventional and automated market makers on market quality in cryptoeconomic systems. Electronic Markets 34 (1), 2024, Art.-Nr.: 42 more…BibTeX
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Lamberty, Ricky; Kirste, Daniel; Kannengießer, Niclas; Sunyaev, Ali: HybCBDC: A Design for Central Bank Digital Currency Systems Enabling Digital Cash. IEEE Access 12, 2024, 137712–137728 more…BibTeX
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2023
Misc.
Kirste, Daniel; Kannengießer, Niclas; Lamberty, Ricky; Sunyaev, Ali: How Automated Market Makers Approach the Thin Market Problem in Cryptoeconomic Systems. arxiv, 2023, more…BibTeX
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