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Frauke Liers is a professor at the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg. Her research focuses on Optimization, Uncertainty, and Data Analysis, exploring various aspects of statistical methodologies and their applications in data-driven decision-making. She is involved in advancing theoretical insights and practical implementations of optimization strategies to manage uncertainty in complex data environments. Her work contributes significantly to the development of robust analytical techniques that enhance data interpretation and model reliability in various fields. Frauke's commitment to education reflects in her active engagement in teaching and mentoring students in data science, preparing them to address contemporary data challenges. She collaborates with interdisciplinary teams to leverage data science in innovative ways, aiming to bridge the gap between theoretical research and practical application.
Department of Computer Science. Program involves a Qualification Assessment Process (QAP).