Specializing in physics-informed machine learning and atomistic modeling for materials discovery in energy systems and extreme environments.
Highlights of my current and recent research projects.
My work in energy storage materials focuses on battery electrolytes and electrode materials, using computational methods to predict and enhance performance in extreme conditions.
Learn moreDeveloping physics-informed machine learning models that combine the accuracy of quantum mechanical calculations with the efficiency needed for materials discovery and optimization.
Learn moreRecent peer-reviewed articles from my research.
Energy Storage Materials, 2026
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