Welcome! I am currently a PhD student in Machine Learning (under the School of Computer Science) and Neural Computation (under the Center for Neural Basis of Cognition) at Carnegie Mellon University. I hold 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.
I am very grateful to be advised by John R. Anderson and Rob E. Kass.
I combine neuroimaging methods and computational modeling in my research to address fundamental questions in human learning and memory: Why memory retrieval is sometimes more effortful than other times? What strategy do people use to search through their memories? What is the influence of our prior knowledge on learning new information? Why some people are better at transfering old knowledge to new situations than other people?
To answer these questions, I utilize different trade-offs in spatial/temporal resolution across different imaging modalities (EEG, MEG, ECoG, fMRI), and develop methods to handle their trial-to-trial and subject-to-subject variability. These neural data are then used to inform our cognitive models where we can test competing psychological theories. Details of my ongoing and past projects can be found here.