I am a systems neuroscientist interested in uncovering the neural circuit mechanisms that enable continual learning, memory consolidation, and cognitive flexibility. Specifically, I seek to understand how the brain continually incorporates new experiences, transfers prior knowledge to new situations, and coordinates hippocampus–neocortex interactions to support learning and memory across multiple timescales. To address these questions, I combine large-scale electrophysiology, two-photon calcium imaging, chemogenetics, behavioral experiments, and computational modeling.

I am currently an EMBO Postdoctoral Fellow in the Moser Group at the Kavli Institute for Systems Neuroscience, where I investigate the neural mechanisms underlying left–right alternating theta sweeps in the entorhinal–hippocampal network.

I received my PhD from UC Irvine in the McNaughton lab, where I studied the neural and computational mechanisms underlying continual learning in biological and artificial systems (see review paper). During my PhD, I developed SWIL, a biologically inspired deep learning algorithm that enables rapid, data-efficient learning of new information. I also investigated how enriched experiences reshape cortical circuit organization and population coding EE. Previously, I was a Research Assistant in the Deshmukh Lab at IISc Bangalore, where I studied the neural correlates of spatial navigation and memory. During this time, I developed camera systems for tracking rodents in large spaces.

A complete list of my publications is available here, or Google Scholar profile.