I am a postdoc at University College London with Matteo Carandini and Kenneth Harris, and a research scientist at DeepMind. I ask questions like “Can we understand what the brain is doing well enough to reproduce it in software?”
My work involves training rodents to play structured games, then carefully studying both the choices that they make and the neural signals that underlie those choices. It also involves designing software agents that play the same games as the rodents, and using these agents as tools for understanding the brain. I’m excited about both reinforcement learning and neural networks as tools for building software agents, and about multi-level modeling as a tool for understanding experimental data.
Before moving to London, I did a PhD at the Princeton Neuroscience Institute with Carlos Brody and Matt Botvinick. My PhD work focused on understanding how the brain makes plans, with a focus on the orbitofrontal cortex and the hippocampus.
When I’m not in the lab, I can often be found hiking up a mountain, canoeing down a river, exploring a canyon, cross-country skiing, or otherwise enjoying the outdoors.