I am a postdoctoral research fellow in the Moser group at the Kavli Institute for Systems Neuroscience. My research focuses on understanding continual learning and memory consolidation in the brain. I am particularly interested in topics such as overcoming catastrophic forgetting, forward knowledge transfer, generalization, and hippocampus-cortex interactions across different timescales. I use a combination of high-density silicon probes, two-photon imaging, and deep-learning models to investigate these questions. Currently, I am studying the neural mechanisms underlying theta sweeps, hoping to uncover how hippocampus-entorhinal cortex-thalamic circuits interact to facilitate rapid and flexible memory encoding.

I earned my Ph.D. in the Neurobiology & Behavior department at the University of California, Irvine, in Dr. Bruce McNaughton's group. During that time, I studied various properties of continual-learning systems, both biological and artificial, including overcoming catastrophic forgetting and enabling forward knowledge transfer. I developed a neuro-inspired deep learning algorithm that enables rapid and data-efficient learning of new information. Additionally, I conducted experiments to determine whether similar principles apply to rodent brains. I also ran experiments to explore how enriched experiences can enhance cortical population coding. I also wrote a review paper proposing ways to bridge gaps between AI models and neuroscience. During my graduate studies, I spent a summer working remotely on developing a single-unit classifier for the Kilosort spike-sorting algorithm with Dr. Marius Pachitariu.

Before joining UC Irvine, I was a Research Assistant at the Indian Institute of Science, Bangalore, in Dr. Sachin Deshmukh’s lab, where I studied the neural correlates of spatial navigation and memory. During this time, I developed camera systems for tracking rodents in large spaces. I earned my bachelor’s degree in Computer Science & Information Systems from BITS Pilani Hyderabad Campus, India, in 2015.