Hi, I'm Pranav.

I'm a postdoctoral researcher at the University of Oxford, with experience in the fields of Neuro AI, Health AI, and AI safety. 

As a scientist and an engineer, I try to understand the adaptive and maladaptive aspects of human and artificial minds, in order to help develop AI systems that work for us, humans (rather than the other way round!).  

To the first approximation, this involves treating minds as computational systems - agents that learn, adapt, act purposefully in uncertain, open-ended environments and interact with other minds - broadly termed computational cognitive neuroscience. Bridging it with AI helps us build the next generation of safer AI systems, which are grounded in a more rigorous science of intelligence, as well as digital health technologies driven by the precise mechanisms of dysfunction. 

More broadly, I aim to bridge basic and applied sciences (engineering), with a clear pathway to downstream impact on humanity.

Previously, I did my PhD on safe learning in humans and machines at the University of Oxford. I've been fortunate to be advised by Prof. Peter Dayan, Prof. Ben Seymour and Prof. Ioannis Havoutis. Before my PhD, I had a brief stint at Nvidia, where I worked on scalable distributed deep learning.