Stefan Kitzler received a bachelor’s and a master’s degree in Technical Physics from TU Vienna. During his studies, he did an internship at the AIT Austrian Institute of Technology and continued the cooperation with the AIT for his master’s thesis “Reliability in power electronics for electric energy converters”. After his graduation in 2018, Stefan worked in the Austrian energy market on computational projects for the power and gas clearing. In 2021, he joined the Complexity Science Hub Vienna as a PhD Candidate and also the AIT as a Junior Scientist. Stefan’s research interests center around data analysis and simulations. Since 2022, he is enrolled on the doctoral program of Computer Science at TU Wien. Currently, he works with Bernhard Haslhofer on crypto-asset analytics and published his first paper on Decentralized Finance (DeFi) compositions.
Friedhelm Victor obtained his PhD at TU Berlin, researching primarily on the intersections of blockchain, data science and privacy. Most of his works involve blockchain-based cryptoassets and the Ethereum network. More generally, he’s interested in: Data Mining, Network Analysis, Privacy & Anonymity, and Fraud Detection. Prior to pursuing his PhD, he completed a Dual Master Degree in Computer Science at Technische Universität Berlin and at the Korean Advanced Institute of Science and Technology.
Pietro Saggese is a PostDoc Scientist at the Complexity Science Hub (CSH), in a joint program with the Austrian Institute of Technology (AIT), since May 2021. He obtained his Ph.D. at the Economics and Data Science department, IMT School for Advanced Studies in Lucca, Italy, in July 2021. In his current research at AIT and CSH, Pietro is focusing mainly on crypto asset analytics, and in particular on investigating the interplay between Decentralised Finance (DeFi) protocols deployed in Ethereum, to gain insights into the potential risks and opportunities associated with them. His research interests include cryptofinance, cryptoasset analytics, and their socio-economic implications.
Bernhard Haslhofer is a senior scientist at the Complexity Science Hub Vienna, where he leads the Cryptofinance researchgroup. He is also a co-founder of Iknaio Cryptoasset Analytics GmbH. His general research interest lies in finding and applying quantitative methods to gain new insights from large-scale, connected datasets. Currently, he is mostly working on cryptoassetanalytics, using quantitative approaches to answer various research questions related to cryptoassets. He also teaches a course on Cryptoasset Analytics at TU Vienna.