I am a second year graduate student at Princeton University working on earning my Ph.D. in Neuroscience, with a particular interest in quantitative and computational approaches to neuroscience. I am also pursuing a supplemental graduate Certificate in Statistics and Machine Learning (CSML).
For my Ph.D., I am being jointly advised by Jonathan Pillow and Ilana Witten. Broadly speaking, my interests include understanding both the neural circuitry and behavior that support decision-making and social interactions. My current work includes using latent-state models to identify the discrete structures underlying these cognitive processes.
I earned my B.S. in Physics from George Mason University in December 2017. While there, I worked as a research assistant in the Vora Lab. During the summer of 2017, I participated in an NSF REU (Research Experience for Undergraduates). This took me to UCLA, where I spent 10 weeks working in the W.M Keck Center for Neurophysics.
When I’m not doing research, I like playing the guitar, dancing, writing, and flipping people for fun (read: practicing Brazilian Jiu Jitsu).