Lea Blessing

Lea Blessing is a Research Assistant and PhD student at the University of Stuttgart's Institute of Applied Analysis and Numerical Simulation, within the Research Group Computational Methods for Uncertainty Quantification. She holds an M.Sc. in Simulation Technology and a B.Sc. in Simulation Technology from the same university. Her research focuses on Bayesian inverse problems, porous media, and uncertainty quantification, with prior work on regularization techniques in geophysical imaging.

Education:

• PhD Student (2025–Present): Institute of Applied Analysis and Numerical Simulation, advised by Prof. Dr. Andrea Barth.
• M.Sc. Simulation Technology (2022–2025): Thesis on 'An Inverse Boundary Value Problem for the Porous Medium Equation - Theory and Numerical Methods,' advised by Prof. Dr. Andrea Barth.
• B.Sc. Simulation Technology (2018–2022): Thesis on 'Regularization Techniques for Full Waveform Inversion in Geophysical Imaging,' advised by Prof. Dr. Dominik Göddeke.

Teaching: Advanced Numerics of PDEs (Summer Term 2025).

Awards:

• Scholarship from the German Academic Scholarship Foundation (2021–2025).

Professional Experience:

• Student Assistant at the Institute of Applied Analysis and Numerical Simulation and Department of Hydromechanics and Modelling of Hydrosystems (2020–2022).
• Student Assistant at the Stuttgart Center for Simulation Science (2022–2025).