I'm a Stanford Data Science Fellow and Postdoc at the Department of Biochemistry, working with Prof. Rhiju Das. I'm building lab-in-the-loop Generative AI for programmable biology, bridging deep learning and high-throughput RNA biochemistry at scale.
Previously, I completed my PhD in Computer Science at the University of Cambridge with Prof. Pietro Liò. My doctoral work focused on Geometric Deep Learning for molecular modelling and design. As a highlight, I developed gRNAde, an inverse design framework that we used to design and experimentally validate new functional RNA enzymes in collaboration with Dr. Phil Holliger's group at MRC LMB.
My research has been recognized by the Qualcomm Innovation Fellowship and the A*STAR National Science Scholarship. I've also been a research scientist intern at Prescient Design (Genentech) and FAIR Chemistry (Meta AI) during my PhD.