Welcome to my homepage!

I am FWF Elise Richter Fellow at the Institute of Analysis and Scientific Computing at TU Wien. My research focuses on developing mathematical and computational methods of uncertainty quantification (UQ) and statistical inverse problems for complex systems in computational science and engineering. To this end, I leverage theory and methods from mathematics and statistics including numerical methods for PDEs, probability and statistics, inverse problems, and optimization. Before I join TU Wien, I was a postdoctoral researcher at Technical University of Munich (My homepage at TU Munich).


  • I have received the Elise Richter Fellowship (2023-2027) funded by the Austrian Science Fund (FWF), to be implemented at the Institute of Analysis and Scientific Computing at TU Wien. This is the only FWF Elise Richter fellowship granted for TU Wien in 2022, and the only one in Mathematics in Austria in 2022.

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    ©FWF/Elena Azzalini
  • My PhD thesis has been awarded the Hannspeter-Winter-Award 2020 of TU Wien. This award is given for the best PhD thesis of a female student among all areas of science at TU Wien. (Press release by TU Wien)

Research Topics

  • Numerical Methods for Uncertainty Quantification(UQ)
  • PDE-based Inverse Problems
  • UQ in Computational Science and Engineering

Current Research Interests

  • Mixture Densities
  • Statistical Inverse Problems
  • Optimal Experimental Design
  • Multilevel Monte-Carlo Methods
  • Applications

    • Nanoelectronics
    • Tomographic Imaging
    • Biology and Medicine