Jiadong Dan
Singapore, United States
Summary
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SeniorJiadong 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
Github Skills (86)
hugo-theme10
hugo10
projection10
python10
topological-data-analysis10
gtk10
approximation10
qt10
dimensionality-reduction10
r10
sublime-text10
statistics10
website-template10
data-visualization10
numba10
Programming languages (9)
Github contributions (5)
jiadongdan/stemplot
May 2024 - Apr 2026
Contributions:1 release, 4 PRs, 43 pushes in 1 year 11 months
jiadong93/scikit-learn
Apr 2018 - Feb 2021
scikit-learn: machine learning in Python
Contributions:3 PRs, 2 pushes, 1 branch in 2 years 10 months
pythondata-sciencelearn-machine-learningneural-networksmachine-learning
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