I’m a 3rd year PhD student at the Department of Computer Science and Technology, University of Cambridge, supervised by Prof. Pietro Liò and supported by the A*STAR National Science Scholarship and the Qualcomm Innovation Fellowship. I’ve previously interned at Prescient Design, Genentech with Dr. Andreas Loukas and at FAIR Chemistry, Meta AI with Dr. Zachary Ulissi. I co-organize the Learning on Graphs Conference.
My research explores the intersection of:
Download my CV.
PhD in Computer Science, 2022 – Present
University of Cambridge, UK
B.Eng. in Computer Science, 2015 – 2019
Nanyang Technological University, Singapore
gRNAde is a geometric deep learning pipeline for 3D RNA inverse design, analogous to ProteinMPNN. gRNAde outperforms physically-based Rosetta and is significantly faster. (Invited book chapter for Methods in Molecular Biology)
A ‘Hitchhiker’s Guide’ for getting started with deep neural networks for 3D structural biology & chemistry – we wrote it without the goal of publishing at particular venues – as if we could travel back in time and learn from it if we were starting our PhDs today! 🤗