Cristina Savin, Ph.D.

Cristina Savin is associate professor in neural science and data science at New York University (NYU). After receiving her Ph.D. from Goethe University in Frankfurt, where she studied the role of different forms of plasticity in unsupervised learning, she worked as postdoctoral researcher at the University of Cambridge, where she developed normative models of memory, and at ENS in Paris, where she modeled probabilistic computation in spiking neurons. This was followed by an independent research fellowship at IST Austria, building statistical tools for quantifying learning in multiunit recordings. She started as PI at NYU in 2017. The Savin lab studies neural principles of adaptive computation by combining normative and computational theory with statistical analyses of experimental data from many collaborators.