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My research focuses on scalable multi-physics simulation tools, adaptive algorithms, and AI-driven scientific computing methods for problems in fracture mechanics, batteries, metamaterials, and advanced manufacturing. The central question driving my work is, “How can we make high-fidelity computational science accessible, scalable, and deployable for real engineering systems?
Alongside academia, I am also building technologies that transform advanced computational mechanics into practical software platforms. To answer the challenges of modern engineering simulation, I work at the intersection of high-performance computing, finite element methods, scientific machine learning, and cloud-based simulation technologies, with the goal of enabling faster design, analysis, and innovation.