Senior Research Fellow at National University of Singapore
Singapore, Singapore
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Summary
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Senior
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Jiadong Dan is a Senior Research Fellow at the National University of Singapore and an Eric and Wendy Schmidt AI in Science alumnus with a decade of experience at the intersection of machine learning and scanning transmission electron microscopy. He earned his PhD developing ML methods to detect quantum defects in atomic-resolution STEM images and now leads work that represents disordered materials as hierarchies of structural motifs using an efficient, explainable ML framework. Based in Singapore, he combines deep materials-science domain knowledge with practical AI tooling to make atomic-scale imaging analyses scalable and interpretable. Notably, his research emphasizes explainability and hierarchical representations, enabling insights into a wide variety of complex, disordered materials rather than one-off models for specific samples.
10 years of coding experience
Exchange Student Program Materials Sciences, Exchange Student Program Materials Sciences at National Cheng Kung University
Bachelor's degree Materials Science, Bachelor's degree Materials Science at Shandong University
Doctor of Philosophy - PhD Scanning Transmission Electron Microscopy (STEM) Machine learning (ML), Doctor of Philosophy - PhD Scanning Transmission Electron Microscopy (STEM) Machine learning (ML) at National University of Singapore
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Jiadong Dan - Senior Research Fellow at National University of Singapore