Hi, I'm Pranav.

I'm a NeuroAI researcher at the University of Oxford, with experience in computational neuroscience, AI safety and Health AI. 

I study minds as computational systems—agents that learn, adapt, and act purposefully in uncertain, open-ended environments. My research bridges AI and neuroscience, combining methods from AI (e.g., reinforcement learning, neural networks, and LLMs) with cognitive and computational neuroscience (e.g. rigorous human-subject experiments). I aim to develop an algorithmic understanding of learning and decision-making in humans, and use it to develop brain-inspired AI and human-centric AI applications for safer human-AI interaction.

I completed my PhD on safe learning in humans and machines at the University of Oxford, and currently seeking full-time research positions. I've been fortunate to be advised by and to work with Prof. Peter Dayan, Prof. Ben Seymour, Prof. Ioannis Havoutis, Prof. Boris Gutkin, Prof. Flavia Mancini, and Prof. Sang Wan Lee.  Before my PhD, I had a brief stint at Nvidia, where I worked on scalable distributed deep learning.