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Prof. Dr. Michael Osterrieder is a distinguished academic and expert specializing in Artificial Intelligence, Data Science, Quantitative Finance, and FinTech. He is a Professor at the ZHAW School of Engineering in Winterthur, Switzerland, where he leads research and teaches on the application of machine learning, deep learning, and AI in finance, risk management, asset pricing, and decentralized finance (DeFi). His work often explores the intersection of advanced computational techniques and financial markets, including areas like algorithmic trading, blockchain technology, and the ethical considerations of AI in finance. Dr. Osterrieder is also known for his contributions to bridging academic research with practical industry applications and has co-founded V-FIN Quantitative Finance GmbH, further highlighting his expertise in applying quantitative methods to real-world financial challenges.
Michael Osterrieder's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Holds a professorship at the ZHAW School of Engineering, focusing on AI, Data Science, and their applications in Finance, leading research initiatives and mentoring students in these cutting-edge fields.
Authored and co-authored numerous influential peer-reviewed articles, conference papers, and book chapters in prestigious international venues, contributing significantly to the fields of quantitative finance, AI in finance, and FinTech.
Conducts leading-edge research and development in Financial Technology (FinTech), including areas like decentralized finance (DeFi), blockchain applications in finance, and algorithmic trading systems.
Co-founded and serves as a managing partner at V-FIN Quantitative Finance GmbH, a company specializing in quantitative financial modeling, risk management, and algorithmic trading solutions, demonstrating entrepreneurial application of his expertise.
Frequently invited as a speaker and expert panelist at international conferences and industry events, sharing insights on AI, machine learning in finance, and the future of financial markets.
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