Camille Rullán Buxó, Ph.D., joins lab as postdoc

Camille received an AB in Physics from Princeton University, where she worked with Jonathan Pillow on stochastic Poisson balanced spiking networks. She then joined Cristina Savin’s lab at NYU to perform a PhD in Neural Science (Systems, Cognition, and Computation Track) to work on the neural basis of real-time probabilistic inference, as well as on the geometric analysis of neural representations (in collaboration with Hamza Giaffar & Mikio Aoi, UCSD). She joins the lab as a postdoc to ask questions about probabilistic representations (of rewards and otherwise) in neural populations. Welcome, Camille!