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Friedrich Wagner is a distinguished academic in the field of Data Science, currently affiliated with the Department of Data Science. He has a profound interest in analytics and mixed-integer optimization. His contributions to the field include multiple publications and involvement in cutting-edge research initiatives. He is dedicated to advancing knowledge in statistical methods and their applications in data-oriented decision-making processes. With a strong foundation in theoretical and applied statistics, Friedrich seeks to bridge the gap between complex analytical challenges and practical solutions. He is a vital member of the academic community, actively participating in seminars, workshops, and interdisciplinary collaborations.
Friedrich-Alexander-Universität Erlangen-Nürnberg • Munich, Germany
Contributing to projects related to analytics and optimization methods, fostering research in data-driven decision-making.
Department of Computer Science. Program involves a Qualification Assessment Process (QAP).