I’m a third year PhD researcher in the Materials Intelligence Research (MIR) group, advised by Boris Kozinsky. My research interests lie at the intersection of atomistic materials modelling, electronic structure and artificial intelligence. Much of my PhD work has been on deep learning interatomic potentials. I am to build robust and scalable interatomic potential models, from their underlying deep learning architectures and training methods, to GPU performance engineering, and the software systems that enable efficient computation and automated workflows.
Prior to my PhD, I was a senior research assistant in the group of Yee Sin Ang at the Singapore University of Technology and Design, where I worked on computational materials screening for nanoelectronics applications.
I completed my BA in Physics and MPhil in Materials Science at the University of Cambridge. During my time at the Materials Theory Group, I developed methods for orbital-free density functional simulations under the supervision of Chuck Witt and Chris Pickard.