We congratulate Micha to his successful PhD thesis defense. He researched about uncertainty quantification when using surrogate models. Some of his work includes:
- An optimal sampling rule for nonintrusive polynomial chaos expansions of expensive models
- Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multifidelity Models
We are also very happy to keep on collaborating with him as postdoc in our group.