Biography
Cristina Savin is associate professor in neural science and data science at New York University. Her lab studies the neural principles of adaptive computation, combining normative and computational theory with statistical analyses of experimental data from a wide range of collaborators. Before launching her group at NYU in 2017, she completed her Ph.D. at Goethe University Frankfurt on the role of plasticity in unsupervised learning, followed by postdoctoral training at the University of Cambridge on normative models of memory, ENS Paris on probabilistic computation in spiking neurons, and an independent fellowship at IST Austria building statistical tools for analysing multi-unit recordings.
Research Interests
- neural circuits
- population coding
- probabilistic computation
- Bayesian inference
- cortical dynamics
SCENE Teams
Featured Publications
The Simons Collaboration on Ecological Neuroscience: Studying how the brain interacts with the world
Angelaki DE, Batista A, Fitzgerald T, Kominsky JF, Lengyel M, Mathis A, Mathis MW, Moss CF, Niell CM, Noel JP, Pitkow X, Rothkopf CA, Savin C, Stachenfeld K, Suthana N, Tolias A, Ulanovsky N, Wolpert DM, Wong A, Zimmermann J
Neuron, 2026 · DOI (opens in new tab) · Preprint (PDF) (opens in new tab)