Ankit Shrivastava

Hi there! 👋 I am an applied mathematician and computational scientist working at the intersection of numerical methods, theoretical machine learning, and scientific computing. My research focuses on developing physics-informed and data-driven methodologies for inverse problems, uncertainty quantification, optimization, and scientific data reconstruction in complex engineered and natural systems.

I collaborate with multidisciplinary teams across materials science, mechanics, power and energy systems, chemical and manufacturing processes, neutron and experimental sciences, and biological imaging, designing scalable numerical and machine learning algorithms for large-scale and high-performance computing environments. My work integrates rigorous mathematical modeling with modern artificial intelligence techniques to deliver robust, interpretable, and deployable scientific solutions.