Claudia Czado

Prof. Claudia Czado is a Professor of Applied Mathematical Statistics at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. Her research focuses on statistical methodology, particularly vine copula models, applied to finance, insurance, engineering, and environmental sciences. She earned her Ph.D. in Operations Research from Cornell University and has held academic positions at York University (Canada) before joining TUM in 1998.

Education: She studied at the University of Göttingen and received her doctorate from Cornell University in 1989. Her career includes roles as Assistant and Associate Professor at York University before becoming a full Professor at TUM.

Research Interests: Her work centers on modeling complex dependencies using vine copulas, Bayesian inference, risk management, and applications in diverse fields like climate science and engineering. Notable contributions include the textbook Analyzing Dependent Data with Vine Copulas (2019).

Awards: Recipient of the Fulbright Travel Grant (2001), Mathematical Sciences Institute Fellowship (1986–1987), and other fellowships from Cornell University.

Advising & Grants: Supervised numerous theses (over 50 listed), contributing to academic mentorship. Active in collaborative projects with industry and international researchers.

Labs/Teams: Co-founder of the "Global Challenges for Women in Math Science" program at TUM, promoting gender equality in STEM.