Understanding the brain is one of greatest scientific challenges of our time. We still don't know how thoughts emerge from neural activity, how our memories are stored and retrieved, or how our brain so flexibly adapts to new situations.

Meanwhile, today, an equally profound challenge has arisen: understanding the artificial intelligence (AI) that emerges in machines of our own making.

My research shows that these challenges are linked. Just as physics unified forces through symmetry and geometry, I show mathematically and empirically that natural and machine intelligence can be studied under a common framework: geometric intelligence.

Visit my lab’s website for an overview of our research and the complete list of publications.