Qi-Nan Huang is a PhD student at the University of Chicago in Chibueze Amanchukwu’s Lab. His research focuses on the development of agentic artificial intelligence and machine learning frameworks for battery electrolyte discovery and design. He is particularly interested in integrating data-driven modeling with chemical intuition and experimental validation to accelerate materials innovation for energy storage applications.

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