We can change our mind and switch our attention–all in less than a second. These cognitive behaviors depend on millisecond time-scale interactions between millions of neurons distributed across the brain. The neuronal interactions underlying cognitive behaviors are rapid, distributed, and also highly complex. To address these challenges in studying cognition, I combine new experimental and computational approaches to measure brain function at high precision. 

I am currently a postdoctoral researcher in Carlos Brody's lab at Princeton. I use new electrophysiological tools to simultaneously record thousands of neurons across multiple brain regions while rats perform well-controlled cognitive tasks. To relate this massive population activity to complex behavior, I develop new machine learning tools to discover interpretable population-level dynamics to adjudicate between competing hypotheses and precisely predict behaviorally-relevant mental transitions.