We struggle to design algorithms which can succeed in even a fraction of the tasks carried out by the simplest of animals. I believe that significant future breakthroughs in AI will come from studying how the brain succeeds where our designs fail. I also believe that learning (in its many forms) is a key component of biological intelligence. My goal is therefore to help elucidate the methods of learning in animal brains.
My interests lie in models of learning at the circuit level and more abstract levels. My PhD research will specifically involve modelling circuit level learning in the Drosophila larva, in the context of classical odour learning.Publications: