Biography

I am a PhD Candidate in the Department of Physics at the University of New Hampshire, where my research focuses on AI-driven materials discovery at the intersection of condensed matter physics and modern machine learning.

My work involves building large-scale experimental materials databases and developing predictive models using large language models (LLMs), graph neural networks (GNNs), and data-driven learning frameworks. I am particularly interested in rare-earth-free permanent magnets, high-transition-temperature superconductors, magnetocaloric materials, and high-performance thermoelectric materials for energy-related applications.

Prior to joining UNH, I completed both my Bachelor’s and Master’s degrees in Physics in Nepal. I am passionate about combining physics-based understanding with scalable AI methods to accelerate the discovery of novel functional materials.

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