My research focuses on the estimation of nonlinear gradient fields and leveraging deep learning techniques to represent low-frequency polynomial fields from large-scale datasets. This directly supports VALIANT’s mission through the use of sophisticated mathematical modeling and machine learning algorithms to analyze and interpret underlying complex structures. This can greatly enhances the potential for innovative AI for nonlinear fields in diffusion imaging. I am excited about the opportunity to contribute to and benefit from the collaborative environment at VALIANT, where shared insights and diverse expertise will undoubtedly propel forward proposed projects and my skill set.