I am interested in studying the role of network dynamics in implementing cortical computations. In the visual domain, my research has focused on understanding the basis of visual “routines” through recurrent neural network models of reentrant processes and, along the way, solutions to the technical challenges that prevent using recurrent models at scale.
I am particularly enthusiastic about problems at the interface of perception and cognition, and I build tools to study these at scale in the context of naturalistic tasks.
I got my Ph.D. at Brown University under Dr. Thomas Serre’s guidance and my Bachelor’s in Computer Science and Biophysics from National University of Singapore, where I was a Turing Fellow.