I am an Assistant Professor in the Artificial Intelligence Group at WUR. My work focuses on solving physical equations (in the form of PDEs, ODEs) that model real-world phenomena using machine learning. I believe we need to leverage the physical knowledge that we have over the years to reduce data dependency.

Before this, I was awarded the AI Schmidt Postdoctoral Fellowship at the University of Oxford, focusing on engineering-informed foundation models for sustainable structural design. Earlier, I did my PhD and Postdoc at TU Delft with Dr. Hongrui Wang, Dr. Alfredo Núñez, and Prof. Rolf Dollevoet, focusing on the generalization issues in physics-informed machine learning.

Furthermore, I was awarded the CEMPI Labex Fellowship to pursue my master’s degree in high performance scientific computing at the Université de Lille, France. During my master’s internship, I spent eight months at ETH Zürich (CAMLab) working with Prof. Siddhartha Mishra on physics-informed neural networks for fully nonlinear partial differential equations.