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 a first approximation, this involves treating minds as computational systems - 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.