Jiadong Dan

• Year

  2022

• Program

  AI in Sci

• Institution

  National University of Singapore (NUS)

• Field of Study

  Materials science, Physics, Engineering

Jiadong Dan is an Eric and Wendy Schmidt AI in Science Fellow at the Center for Bioimaging Sciences (CBIS) of the National University of Singapore (NUS). After graduating from Shandong University (top 5%), he was admitted into the competitive NUS Integrative Sciences and Engineering program, where he did his Ph.D. dissertation on using machine learning (ML) to efficiently identify quantum defects in atomic resolution scanning transmission electron microscopy (STEM) images. In his current postdoctoral role, Jiadong has found an efficient and explainable ML framework that describes a wide variety of important materials with disorder as a hierarchy of structural motifs. This work won him the Microscopy Society of America’s Distinguished Postdoctoral Scholar Award in 2022. He was also selected as one of the International Federation of Societies for Microscopy (IFSM) Young Scientists in 2023.