Jiadong Dan is a Schmidt AI in Science Fellow at the National University of Singapore (NUS), specializing in the intersection of machine learning (ML) and scanning transmission electron microscopy (STEM). Guided by Prof. Stephen J. Pennycook, my Ph.D. research innovatively applied ML to identify quantum defects in atomic resolution STEM images. Now in Asst. Prof. Duane Loh’s group, I am advancing a robust ML framework to characterize materials through a hierarchy of structural motifs. Leveraging my deep expertise, I aim to develop an electron microscope copilot system to improve material analysis and enhance understanding of material disorders.