I am a fourth-year Ph.D. student in Cognitive Sciences at Brown University at the Neural Computation and Cognition Lab, advised by Prof. Michael Frank. My general research interests lie in investigating computational principles of intelligence in brains and machines. 

More specifically, I am interested in understanding how neuro-cognitive processes in the brain result in flexible and adaptive learning behaviours. Towards this goal, I am interested in investigating what computational mechanisms enable learning of the stable properties of the environment while enabling flexible, generalizable behaviours to deal with non-stationarities in the environment. Relatedly, I am also keen on exploring how this relates to other neuro-cognitive aspects such as memory, reinforcement learning and cognitive control. Concurrently, my other work involves developing efficient and tractable Bayesian inference methods for computational models that jointly account for the processes underlying human decision-making and learning. 

Previously, I graduated from IIIT-Hyderabad with B.Tech. in Computer Science and M.S. (research) in Computing and Human Sciences. At IIIT, I was working at Cognitive Science Lab under the supervision of Prof. Bapi Raju. My work (thesis) involved empirical and computational investigation of motor skill learning in internally-guided sequencing.