I am a Research Engineer at the Institute for Infocomm Research, A*STAR, Singapore. My research interests are in machine learning for graphs and geometric data, with a focus on Graph Neural Networks (GNNs). I aim to combine deep learning, network science, and combinatorial optimization to develop data-driven decision making tools for scientific discovery, e.g. the design of novel biomolecules and sustainable materials.
Previously, I graduated as the Valedictorian from Nanyang Technological University, Singapore in 2019 with a B.Eng. in Computer Science. At NTU, I was awarded the Best Final Year Thesis Gold Medal for my work with Prof. Xavier Bresson, as well as the Best Professional Internship Award as a research intern at SAP Machine Learning, Singapore.
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B.Eng. in Computer Science, 2019
Nanyang Technological University, Singapore
We study zero-shot generalization to large-scale instances in learning-driven TSP solvers: what architectures, inductive biases and learning paradigms enable better generalization?
Neural Networks for learning to solve combinatorial optimization problems.
Representation learning on graphs and geometric data with Graph Neural Networks.