Neo Neng Kai Nigel
Data Scientist | AI4Science / Graphs
Biography
Hey! I’m currently a data scientist working on AI4Science applications. My research interests include deep graph learning and its applications, including graph anomaly detection, fairness and explainability of graph neural networks, as well as geometric graph neural networks for applications in scientific domains.
Interests
- Deep Graph Learning
- AI4Science
- Fairness in Machine Learning
Education
Master of Science in Computer Science, 2022
Georgia Institute of Technology
Bachelor of Science in Chemistry and Computer Science, 2021
National University of Singapore
Experience
Member of Technical Staff
DSO National Laboratories
Responsibilities include:
- Data Scientist in Materials Department - Structuring problems for exploitation by AI, and visualising and communicating insights to upper management
- Led project on inverse design for materials processing via crystal plasticity models with CcGANs
- Conduct parameter studies and further analysis of experimental parameters with experimental team to optimise processing conditions, reducing time needed by ~55%.
Graduate Research Assistant
Georgia Institute of Technology
Research on fairness of graph anomaly detection algorithms, as part of Prof Srijan Kumar’s CLAWS group
Recent Publications
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(2024).
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management.
