I studied Neuroscience & Behavior at Vassar College (class of '09), then spent two years as a research assistant with Prof. Javier Medina at the University of Pennsylvania. At Penn I studied how computations in the mouse cerebellum can lead to well-timed, coordinated movements. After a short stint as a musician and science and tech blogger, I began a PhD in Psychology & Neuroscience at Princeton University in 2013, which I completed in the Spring of 2018. At Princeton, I worked with Profs. Jordan Taylor and Yael Niv, and collaborated with Prof. Rich Ivry (UC Berkeley). My main research interests concern modeling human motor and reinforcement learning, and mapping different learning systems to their respective neural substrates. Now I'm a postdoc at UC Berkeley with Prof. Anne Collins and Prof. Ivry.
I'm continuing to study learning, with a focus on computational modeling and cognitive neuroscience. Here's a long-winded question that bugs me: How do different learning systems in the human brain, each with different evolutionary histories, learning algorithms, and neural circuits, work together to give rise to the astounding repertoire of skills every human on earth acquires and maintains over their lifetime?