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Andrea Gilch is a research associate in the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg. She specializes in mathematical optimization, particularly in the context of robust optimization methods for quality control of particulate products. Her work includes developing algorithmic designs and validating the implementation of these methods in real-world scenarios. She is actively involved in the SFB 1411 research project, focusing on design particulate products and their optimization under uncertainty. Additionally, she serves as a women's representative at FAU, participating in internal bodies and functions to promote diversity and inclusion within the university.
Department of Computer Science. Program involves a Qualification Assessment Process (QAP).