The overall mission of the Grossman Center for the Statistics of Mind is to better understand the brain by applying quantitative methods to uncover deep and meaningful structure in large neural datasets.


Several postdoc positions are available: see links here and here for details.

We just moved into a beautiful new space.

John Cunningham was recently named a Sloan Research Fellow and a McKnight Scholar.

Mark Churchland was recently named a Klingenstein-Simons Fellow.

Rudy Behnia, Ph.D.

Assistant Professor, Neuroscience.

Prof. Behnia has been named as the current Grossman-Kavli faculty scholar.

Lab Website

John Cunningham, Ph.D.

Assistant Professor, Statistics.

Prof. Cunningham has joined us as the newest faculty member of the Grossman Center.

Lab Website


Mark Churchland, Ph.D.

Assistant Professor, Neuroscience; member, The Kavli Institute for Brain Science, David Mahoney Center for Brain and Behavior Research.

Lab Website

Liam Paninski, Ph.D.

Professor, Statistics and Neuroscience; member, Center for Theoretical Neuroscience; member, The Kavli Institute for Brain Science.

Lab Website

Center Postdocs

Cora Ames

Shizhe Chen

Xinyi Deng

Logan Grosenick

Daniel Hernandez

Scott Linderman

Jackson Loper

Ari Pakman

Xuexin Wei

Pengcheng Zhou


Evan Archer (Cognescent)

Lars Buesing (Google DeepMind)

David Carlson (Duke)

Dean Freestone (University of Melbourne)

Johannes Friedrich (Simons Flatiron Institute)

Antonio Lara (Kernel)

Tim Machado (Stanford)

Josh Merel (Google DeepMind)

Eftychios Pnevmatikakis (Simons Flatiron Institute)

Daniel Soudry (Technion)

Uygar Sumbul (Allen Institute for Brain Science)

Advisory board

Larry Abbott, Ph.D.

William Bloor Professor of Neuroscience, Physiology & Cellular Biophysics, Biological Sciences; co-director, Center for Theoretical Neuroscience

Lab Website

Richard Axel, M.D.

University Professor; Investigator, Howard Hughes Medical Institute, co-director, Zuckerman Mind Brain Behavior Institute

Lab Website

Thomas Jessell, Ph.D.

Claire Tow Professor, Neuroscience and Biochemistry & Molecular Biophysics; co-director, Zuckerman Mind Brain Behavior Institute, co-director, Kavli Institute for Brain Science; Investigator, Howard Hughes Medical Institute

Lab Website

Michael N. Shadlen, M.D., Ph.D.

Professor of Neuroscience; Investigator, Howard Hughes Medical Institute

Lab Website

David Madigan, Ph.D.

Professor, Department of Statistics; Executive Vice President, Arts and Sciences

Lab Website


Recent / upcoming

Neurotheory seminar series


Fall 2012

Spring/Summer 2013

Fall 2013

Spring 2014

Fall 2014

Spring 2015

Fall 2015

Spring 2016


Statistical Analysis of Neural Data, Liam Paninski, Fall 2017.

Computational Statistics, Liam Paninski, Spring 2017.

Gaussian Processes and Kernel Methods, John Cunningham, Fall 2015.

Advanced Topics in Theoretical Neuroscience, Larry Abbott, Stefano Fusi, Ken Miller, Spring 2014.

Selected Recent Publications

Gao Y, Archer E, Paninski L, Cunningham JP (2016) Linear dynamical neural population models through nonlinear embeddings. NIPS.

Elsayed GF, Lara AH, Churchland MM, Cunningham JP (2016). Complete reorganization of population response across linked computations in motor cortex. Nature Communications.

Gabitto M., Pakman A., Bikoff J., Abbott L., Jessell T. & Paninski, L. (2016). Bayesian sparse regression analysis reveals the extent of spinal V1 interneuron diversity. Cell.

Pnevmatikakis, E. et al (2016). Simultaneous denoising, deconvolution, and demixing of calcium imaging data. Neuron.

Merel J, Carlson D, Paninski L, Cunningham JP (2016) Neuroprosthetic decoder training as imitation learning. PLOS Computational Biology.



Columbia University

Department of Neuroscience

Department of Statistics

Center for Theoretical Neuroscience

Zuckerman Mind Brain Behavior Institute (MBBI)

Institute for Data Sciences and Engineering

The Grossman Center for the Statistics of Mind is made possible through the generosity of the Sanford J. Grossman Charitable Trust.