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 biomolecule design.
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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. (To appear in ICML 2023, and presented as an Oral at NeurIPS 2022 Workshop)
We propose gRNAde, a geometric deep learning pipeline for 3D RNA inverse design conditioned on multiple backbone conformations.
HYFA (Hypergraph Factorisation) jointly imputates multi-tissue and cell-type gene expression via a specialised graph neural network operating on a hypergraph of individuals, metagenes, and tissues. (To appear in Nature Machine Intelligence)