machine learning and computational neuroscience research group

We study machine learning and its application to science and industry, including in particular how neurons give rise to the remarkable computational sophistication of our brains. I am an Assistant Professor in the Department of Statistics at Columbia University. I was a postdoc in the Machine Learning Group at the University of Cambridge, a graduate student in electrical engineering at Stanford University, and an undergraduate in computer science at Dartmouth College. Learn more about our research and our people.

We are part of the world-class machine learning community at Columbia, which includes investigators like Dave Blei, Lauren Hannah, Daniel Hsu, Tony Jebara, Peter Orbanz, John Paisley, Liam Paninski, and more. We are also a part of the world-class neuroscience community at Columbia, including the Grossman Center for the Statistics of Mind, the Zuckerman Mind Brain Behavior Institute, and the Center for Theoretical Neuroscience.