Mariano Gabitto, Ph.D.

Mariano Gabitto joined the Simons Foundation in October 2016 to work in the Systems Biology group at the Center for Computational Biology. Before joining the foundation, Mariano earned his Ph.D. in computational neuroscience at Columbia University, where he focused on the probabilistic modeling of spinal interneuron development. Mariano holds an M.Sc. in physics from the University of California San Diego and a Licenciatura in physics from the University of Buenos Aires.

Mariano’s research focuses on applying statistical, computational and machine learning methods to decipher how network of genes and molecules within cells interact to give rise to the cellular diversity observed in organisms.

My Google Scholar profile can be found here and this is my personal webpage. I organized a successful machine learning conference in Buenos Aires, here you can find a tv profile about it.

Selected Publications

M. I. Gabitto, A. Pakman, J.B. Bikoff, L.F. Abbott, L. Paninski. Bayesian Inference of Spinal Interneurons Reveals Diverse and Spatially Clustered Cell Types. (2016) Cell, 165, pp 220-223.

J.B. Bikoff, M.I. Gabitto, Drobac E., Machado T., Miri A., M. Mentis, Jesell T.M. V1 Interneuron diversity reveals motor pool and joint-specific spinal inhibitory microcircuits. (2016) Cell, 165, pp. 207-219.

X. Chen, M. I. Gabitto, Y. Peng, N. Ryba, C.S. Zuker. A gustatory map of taste qualities in the mammalian brain. (2011) Science, 333 1262-1266.

T. Komiyama, T. Sati, D. O’Connor, Y. Zhang, D. Huber, B. Hooks, M. I. Gabitto, K. Svoboda. Imaging motor cortex ensemble activity in mice performing a learned choice behavior. (2010) Nature 464, 1182-1186.



Ph.D., Neuroscience
Columbia University, New York, NY

M. Sc., Physics
University of California, San Diego, CA

Licenciatura, Physics
University of Buenos Aires, Buenos Aires, Arg.





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