I am a PhD student at the Department of Computer Science and Technology, University of Cambridge, supervised by Prof. Pietro Liò. My research explores the intersection of Geometric Deep Learning and Graph Neural Networks for drug discovery and biomolecule design.
Previously, I was a Research Engineer at the Institute for Infocomm Research, A*STAR, Singapore, where I was awarded the National Science Scholarship (PhD). Before that, I graduated as the Valedictorian from Nanyang Technological University, Singapore in 2019 with a B.Eng. in Computer Science.
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PhD in Computer Science, 2022 –
University of Cambridge, UK
B.Eng. in Computer Science, 2015 – 2019
Nanyang Technological University, Singapore
We propose a Geometric Weisfeiler-Leman test to study the expressive power of Geometric Graph Neural Networks and demonstrate the advantages of equivariant GNNs over invariant GNNs. (Oral Presentation, NeurIPS 2022 Workshop)
Exploring the connection between Transformer models such as GPT and BERT for Natural Language Processing, and Graph Neural Networks. (72,000+ readers on The Gradient, featured in Probabilistic ML textbook, classes at Stanford and Cambridge.)