Our research focus is on applied and computational mathematics, in particular optimization, inverse problems and uncertainty quantification. We are interested in the theory, development and analysis of methods for the proper treatment of uncertainties in inverse and optimization problems. We work at the interface of applied mathematics and statistics, which is an exciting and fast-growing area of research. Applications include engineering, environmental, physical and biological systems, e.g., groundwater flow problems, shape uncertainties in aerodynamic applications or nano-optics, biochemical networks and finance.
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