I’m a postdoctoral researcher in the VADER Lab at Arizona State University, focusing on visualization and explainable AI. My work centers on visualizing high-dimensional loss functions to improve the transparency and reliability of machine learning models, particularly in scientific applications. By integrating principles from visual analytics and AI, I develop tools that help researchers and practitioners better understand complex model behaviors, aiming to make advanced AI techniques more interpretable, trustworthy, and applicable in scientific domains.