Mission

Both our brains and AI systems solve computational challenges in a highly distributed manner encoded in the collective activity of neural populations. My research focuses on understanding the dynamical processes underpinning neural computations to derive common algorithmic principles shared by these fundamentally different systems. I am motivated by two synergistic aims: (1) developing novel methods using machine learning, geometry and dynamical systems theory that facilitate discovering better models of how the brain works and (2) reverse-engineering the dynamical processes that underpin complex animal behaviours to develop more advanced AI systems that benefit clinical applications such as brain-machine interfaces