I am an Assistant Professor in the Artificial Intelligence Group at WUR and a member of ELLIS and 4TU+.AMI. My research focuses on two critical challenges in AI for science: Limited data and computational cost.

My expertise is in Scientic machine learning and physics-informed machine learning, with a focus on developing generalizable, data-efficient, and computationally efficient methods for sustainable engineering.

Academic Journey

🇮🇳 Delhi → 🇫🇷 Lille → 🇨🇭 Zürich → 🇳🇱 Delft → 🇬🇧 Oxford → 🇳🇱 Wageningen

Prior to joining as an assistant professor at WUR, I was awarded the Schmidt AI in Science Postdoctoral Fellowship at the University of Oxford. I received my PhD from TU Delft, following master’s degrees in high-performance scientific computing from Université de Lille and mathematics from South Asian University. I also completed a research internship at ETH Zürich (CAMLab). I obtained my bachelor’s degree in mathematics from the University of Delhi.