I am currently a postdoctoral researcher in Mathematics of Imaging & AI group at University of Twente under the guidance of Dr. Mengwu Guo. My research interest includes but not limited to, numerical methods for PDEs, surrogate modelling, uncertainty quantification, and scientific machine learning.
If you are interested in working on the related topic for master thesis or internship, feel free to contact me.
News
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It's my great pleasure to present and share our latest work on 'Gaussian process learning for nonlinear dynamics' at the Scientific Machine Learning Workshop at CWI!
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I am excited to share our latest publication: Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots!
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The week at SciML Autumn School at CWI, Amsterdam is wonderful! Many inspiring talks and discussions! Looking forward to the upcoming workshop in December!
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I am excited to present our work 'registration-based reduced-order modelling for blood flow simulations' at CompBioMed Conference, Munich, Garching.
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Our paper on 'Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling' has been published in Reliablity Engineering & System Safety. Congratulation, Salome!
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