Olga Graf

Olga is a PhD student in the Optimization and Data Analysis group at the School of Computation, Information and Technology of the Technical University of Munich. She received her master's degree in applied mathematics from Tallinn University of Technology.

Her research interests lie in the theoretical foundations of signal processing and machine learning, including the following topics: sampling/quantization theory with the focus on coarse representations, physics-informed neural networks, Bayesian machine learning, uncertainty quantification.