Mariano Gabitto


Bio:
Mariano is an Assistant Investigator at the Allen Institute for Brain Science. Mariano’s research focuses on applying statistical and machine learning methods to decipher how networks of genes and molecules within cells interact to give rise to the cellular diversity observed in the brain. Before joining Allen, he was a research scientist at the Center for Computational Biology at the Simons Foundation and at the Broad Institute. Mariano was a visiting scientist at Mike Jordan's Group at U.C. Berkeley, developing Bayesian nonparametric methods for super-resolution imaging and deep generative models to represent single-cell information. He completed his Ph.D. in Neuroscience at Columbia University in the laboratory of Charles Zuker where he established collaborations with the groups of Liam Paninski, Larry Abbott and Tom Jesell.