Alex Williams, Ph.D.

Associate Research Scientist, Statistical Analysis of Neural Data, CCN, Flatiron Institute
Assistant Professor, Center for Neural Science, New York University

Alex is jointly appointed as an Assistant Professor in the Center for Neural Science at NYU and an Associate Research Scientist / Project Leader at the Flatiron Institute. Alex develops statistical models to characterize functional flexibility in large-scale neural circuits—e.g., how the dynamics of large neural ensembles change when learning a new skill, during periods of high attention or task engagement, or over the course of development and aging.

Alex performed his postdoctoral work in the Statistics Department at Stanford University working with Scott Linderman’s research group. Before that, he obtained a PhD in Neuroscience from Stanford with supervision from Surya Ganguli. He has also worked at Google Brain (with David Sussillo), Sandia National Labs (with Tamara Kolda), the Salk Institute (with Terry Sejnowski), and Brandeis University (with Eve Marder) as a visiting researcher / technician. He first began studying neuroscience as an undergraduate at Bowdoin College, where he was advised by Patsy Dickinson.

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