Welcome! I am a C. V. Starr Fellow at Princeton Neuroscience Institute working with Ken Norman and Tom Griffiths. I had my doctoral degree from Carnegie Mellon University jointly in the Machine Learning Department and the Center for Neural Basis of Cognition. My doctoral dissertation is with John Anderson and Rob Kass. Before that, I obtained a Master's degree in Machine Learning from Carnegie Mellon University, and a Bachelor's degree in Computational Biology with 1st Honors from National University of Singapore.
My research is centered around mechanisms of human memory retrieval. Memory retrieval is a hidden cognitive process that is not directly observable from behavioral responses. I develop machine learning methods that allow us to track when and where this hidden cognitive process occurs in the brain. In addition to tracking how a memory is retrieved, I also build cognitive models to examine a network of interconnected memories and how our mind can efficiently search through them. Finally, I study how this network of memories grows; encoding new memories builds upon the existing network of prior memories. Understanding how our prior knowledge impacts the formation of new memories is fundamental to understanding human learning. Details of my ongoing and past projects can be found here.