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Charlie Windolf, Ph.D.

Flatiron Research Fellow, Center for Computational Neuroscience

Bio

Charlie joined the Center for Computational Neuroscience in 2026, working with Alex Williams in the Statistical Analysis of Neural Data group. He develops probabilistic machine learning methods to help extract and explore signals in neural activity, with interests including spike sorting and unsupervised modeling problems. He received his Ph.D. in Statistics from Columbia University, where he worked with Liam Paninski, and he previously studied applied math and computer science at Brown University.

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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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