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Daniela Bernhard is a Professor in the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg. Her research focuses on Optimization, Uncertainty, and Data Analysis, contributing to advancements in these fields. With a background in data science, she engages in both theoretical and practical aspects of data-driven decision-making processes. Professor Bernhard aims to enhance methodologies that incorporate uncertainty quantification and optimization techniques to improve data analysis outcomes. Through her publications and collaborations, she works towards bridging gaps between theory and application in data science research, fostering innovation and sustainable practices.
Department of Computer Science. Program involves a Qualification Assessment Process (QAP).