Abhishek Chandra

I am a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, where I work on physics-informed AI for reliable asset management in power systems.

I am an applied AI and computational scientist working at the intersection of machine learning, engineering, and the physical sciences. My research focuses on developing scientific machine learning and physics-informed machine learning methods for sustainable technologies, with particular interests in generalization, reliability, and physically grounded modeling.

I received my PhD from TU Eindhoven, where I developed generalizable, data-driven machine-learning surrogates for modeling nonlinear constitutive behavior in electromechanical materials. Prior to that, I was a research intern in the Energy Science & Engineering Department at Stanford University.

I hold a master's degree in High-Performance Scientific Computing from Université de Lille and a master's degree in Applied Mathematics from South Asian University. I received my bachelor's degree in Mathematics from the University of Delhi.

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