Research Interests

My research interests includes, but not limited to, reduced-order modelling, Gaussian process and kernel methods, physics-informed machine learning.

Short Bio

I worked as a postdoctoral researcher in Mathematics of Imaging & AI group at University of Twente under the guidance of Prof. Mengwu Guo and Prof. Christoph Brune on scientific machine learning and uncertainty quantification. I completed my PhD in 2022 at the Computational Science Lab, University of Amsterdam, under the supervision of Prof. Alfons Hoekstra. My PhD work mainly focused on surrogate modelling and uncertainty quantification for in-silico model ISR3D, as a part of Horizon 2020 project, VECMA. 

Prior to my PhD, I studied Simulation Science at RWTH Aachen University, with a focus on numerical analysis, high-performance computing and computational fluid dynamics. Meanwhile, I worked as a Hiwi (research assistant) at the Institute of General Mechanics under the supervision of Dr. Franz Bamer on reduced-order modelling and finite element simulation. I earned my bachelor's degree in Engineering Mechanics at Tongji University in 2014.