Cristina Savin, New York University, Center for Neural Science & Center for Data Science, USA
After a PhD at Goethe University in Frankfurt, studying the role of different forms of plasticity in unsupervised learning, Cristina worked as postdoctoral researcher at Cambridge U. developing normative models of memory. This was followed by a short stint at ENS in Paris, modeling probabilistic computation in spiking neurons, and an independent research fellowship at IST Austria, building statistical tools for quantifying learning in multiunit recordings. Since 2017 she is an Assistant Professor in Neural Science and Data Science at NYU.