Aaditya Rangan

About

Aaditya Rangan is an Associate Professor of Mathematics at NYU Courant. His research focuses on understanding dynamics in neuronal networks, particularly in the insect olfactory system and mammalian primary visual cortex. He also develops tools for detecting structure in large datasets, such as finding biclusters in gene-expression and SNP data.

Education

• Ph.D., Mathematics, University of California, Berkeley, USA, 2003
• B.A., Mathematics and Physics, Dartmouth College, USA, 1999

Selected publications

• A.V. Rangan and L.S. Young, "Emergent dynamics in a model of the visual cortex", Journal of Computational Neuroscience 35, 155-167 (2013)
• A.V. Rangan, "Functional Roles for Synaptic-Depression within a Model of the Fly Antennal Lobe", PLoS Computational Biology 8, no. 8, e1002622, doi:10.1371/journal.pcbi.1002622 (2012)
• A.V. Rangan, "A simple filter for detecting low-rank submatrices", Journal of Computational Physics 231, no. 7, 2682-2690 (2012)