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Claudia Czado, a professor emeritus at the Technical University of Munich, specializes in Applied Mathematical Statistics. Her academic journey began with her doctorate in Operations Research and Industrial Engineering at Cornell University in 1989. She progressed to assistant professor in 1995 and became an associate professor at York University, Toronto, in 1998, before her appointment to a professorship in Applied Mathematical Statistics at TUM. Her research focuses on modeling complex dependencies and regression effects within time and space structures, employing vine copula based models to construct high-dimensional multivariate distributions. Czado has developed methodologies for the selection, estimation, and adaptation of complex data structures applicable across diverse fields such as finance, insurance, engineering, and life sciences. With a significant number of international collaborations with industry and academia, she is recognized for her contributions to statistics and data science. In 2019, she authored a textbook analyzing dependent data using vine copulas. Beyond her research, Czado played a pivotal role in establishing the 'Global Challenges Women Math Science' program at TUM in 1998, aiming to support young female scientists.
Technical University of Munich • Munich, Germany
Serves as a professor in the Department of Applied Mathematical Statistics, focusing on research and teaching in statistical modeling and data science.