My research focuses on the computational modeling of protein and nucleic acid structures using deep learning. I develop algorithms that integrate co-evolutionary information and deep geometric learning models to improve the accuracy of structure prediction. My work includes methods for RNA tertiary structure modeling from sequence, as well as protein complex structure prediction. I am also interested in applying these models to support RNA- and protein-targeted macromolecular sequence and structure design.
NUS Links:
