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Research Staff

Philip Kidd, Ph.D.

Flatiron Research Fellow, Center for Computational Neuroscience

Bio

Phil is a Flatiron Research Fellow in the Neural Circuits and Algorithms group at the Center for Computational Neuroscience (CCN). His work focuses on using ideas from dynamical systems and control theory to model chemotaxis behavior. Before coming to Flatiron, Phil was a postdoc in Cori Bargmann’s group at The Rockefeller University, performing experiments on chemotaxis in nematodes. He earned his Ph.D. in physics at Cornell University working on the dynamics of circadian rhythms in fruit flies.

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Kazunori Shinomiya

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Center for Computational Neuroscience

Understanding the human brain is one of the greatest and most challenging scientific frontiers of our time. CCN’s mission is to develop models, principles and conceptual frameworks that deepen our knowledge of brain function — both in health and in disease.

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