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Simon Trimborn is an Assistant Professor at the University of Amsterdam's Amsterdam School of Economics, specializing in quantitative economics. His expertise includes econometrics and data science, with a focus on high dimensional data analysis, time series data, and cryptocurrency markets. He defended his PhD thesis titled 'Statistics in Digital Finance' at Humboldt University of Berlin in 2018, graduating summa cum laude. His research aims to develop methodologies that provide economically meaningful insights into complex systems, particularly in the areas of blockchain and investment indices. He has served as an Associate Editor for journals in digital finance and organized multiple conferences related to fintech, including a significant event in Hong Kong in 2022. In addition to his academic endeavors, Simon has published R-packages to support ease of access to his research and maintains a presence on GitHub to share code and data with the research community.
University of Amsterdam • Amsterdam, Netherlands
Teaching econometrics and data science courses, focusing on advanced analytics and methodologies.
Includes departments like Economics, Business Administration, Finance, and Marketing.