Research Staff

David G. Clark, Ph.D.

Associate Research Scientist, Center for Computational Neuroscience

Bio

David G. Clark is a group leader and associate research scientist at the Flatiron Institute’s Center for Computational Neuroscience. His research develops theories of how connectivity, dynamics and computation are linked in large neural circuits, using tools from statistical physics and machine learning.

From 2025 to 2026, Clark was a Research Fellow at the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University. He received his Ph.D. in neurobiology and behavior from Columbia University in 2025, where he was advised by Larry Abbott and worked with Ashok Litwin-Kumar, Haim Sompolinsky and Richard Axel. Before that, he studied physics and computer science at the University of California, Berkeley.

Publications

Lyapunov spectrum of random neural networks

arxiv:2610.12426, October 8, 2026

Featuring David G. Clark

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David G. Clark Is Finding Order in the Brain’s Noise

October 28, 2026

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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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