Rishidev Chaudhuri is the latest addition to our stellar roster of GGAM faculty. Rishi has a joint appointment between Mathematics and Neurobiology, Physiology and Behavior. He works on a number of questions related to collective computation in distributed neural systems, both trying to uncover general mathematical principles and algorithms that these systems might use, and using neural data sets to test and develop models of specific computations, with a focus on memory, learning and decision-making. The figure below illustrates his analysis of the topology of neural data, specifically the picture shows a ring manifold in the brains of sleeping mice

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Rishi's research interests include Computational neuroscience; mathematical biology; machine learning; algorithms; distributed computing; graph theory; dynamical systems; high-dimensional probability and statistics. He obtained his Ph.D. in Applied Mathematics from Yale University in 2013, and joined Davis after postdoc stints at NYU, UT Austin, and UC Berkeley. Welcome Rishi!