Welcome to my homepage!
I am Project Leader and FWF Elise Richter Fellow at the Institute of Analysis and Scientific Computing at TU Wien (research group Uncertainty Quantification) and currently the PI of the FWF Elise Richter Project V1000. 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.
- October 2023: If you are interested to write a Master's or Bachelor's thesis in Uncertainty Quantification, please see here for possible topics. I am also happy to discuss other related and possible topics of your interest.
- June 2023: My interview at TU Wien about my research in the context of Woman in Science here in German (for the English version, see here). ©TU Wien/Ting Chung
- 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. ©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, English version here)
- Numerical Methods for Uncertainty Quantification(UQ)
- PDE-based Inverse Problems
- UQ in Computational Science and Engineering
Current Research Interests
- Statistical Inverse Problems
- Optimal Experimental Design
- Multilevel Monte-Carlo Methods
- Tomographic Imaging
- Biology and Medicine