Carmen Gräßle received her diploma in mathematics (with minor chemistry) at the University of Konstanz in 2015. Her diploma thesis was supervised by Prof. Dr. Stefan Volkwein and was focused on POD based inexact SQP methods for semilinear optimal control problems.
After graduation, she worked as a research assistant at the University Hamburg in the group of Prof. Dr. Michael Hinze. From October 2016 until July 2019, she was supported by the DFG SPP 1962 “Non-smooth and Complementarity-based Distributed Parameter Systems: Simulation and Hierarchical Optimization“. Within project 13 she worked on the optimization of multi-phase flow using model order reduction techniques. Her doctoral studies in particular comprised the inclusion of adaptivity concepts in model order reduction with POD with applications in PDE constrained optimization. She received her PhD in June 2019.
Since July 2019, Carmen Grässle is a post-doctoral researcher at the Max Planck Institute of Complex Technical Systems in Magdeburg in the group of Prof. Dr. Peter Benner. Her research interests include flow problems, adaptive techniques for MPC, model reduction for non-smooth structures and data assimilation.