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Taniya Kapoor

2.0
Founder Score · low confidence
1/5 signal groups
Track record 0.0/30 Career 0.0/20 Shipping 0.0/30 Research 2.0/10 Network 0.0/10
Research
  • 2 recent paper(s)

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About

I am an Assistant Professor in the Artificial Intelligence Group at WUR. My research interests lie broadly in Machine Learning for the Sciences and Science for Machine Learning. In particular, I focus on developing ML models that integrate physical knowledge such as partial differential equations, ordinary differential equations, and physical laws, to tackle global challenges. I obtained my PhD at TU Delft, where I worked on physics-informed machine learning for structural engineering applications under the supervision of Dr. Hongrui Wang, Dr. Alfredo Núñez, and Prof. Rolf Dollevoet. Following the completion of my PhD, I was awarded the AI Schmidt Postdoctoral Fellowship at the University of Oxford, to develop engineering-informed foundation models for sustainable structural design. Prior to that, I worked at ETH Zürich (CAMLab), on physics-informed neural networks for fully nonlinear P

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Output & traction

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks
authored · 2026 · paper
arXiv