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.

Associate 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

Xinyi Deng

Josh Glaser

Logan Grosenick

Daniel Hernandez

Kenny Kay

Scott Linderman

Jackson Loper

Cat Mitelut

Ari Pakman

Shreya Saxena

Erdem Varol

Xuexin Wei

Matt Whiteway

Pengcheng Zhou


Evan Archer (Cogitai)

Lars Buesing (Google DeepMind)

David Carlson (Duke)

Shizhe Chen (UC Davis)

Dean Freestone (University of Melbourne)

Johannes Friedrich (Simons Flatiron Institute)

Antonio Lara (Kernel)

Tim Machado (Stanford)

Gonzalo Mena (Harvard)

Josh Merel (Google DeepMind)

Eftychios Pnevmatikakis (Simons Flatiron Institute)

Daniel Soudry (Technion)

Uygar Sumbul (Allen Institute for Brain Science)


Statistical Analysis of Neural Data, Liam Paninski, Fall 2018.

Computational Statistics, Liam Paninski, Spring 2018.

Selected Recent Publications

Russo AA, Bittner SR, Perkins SM, Seely JS, London BM, Lara AH, Miri A, Marshall NJ, Kohn A, Jessell TM, Abbott LF, Cunningham JP, Churchland MM (2018). Motor cortex embeds muscle-like commands in an untangled population response. Neuron.

Zhou P et al (2018). Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data. eLife.

Paninski, L. & Cunningham, J. (2017). Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience. Invited review.

Elsayed GF and Cunningham JP (2017). Structure in neural population recordings: an expected byproduct of simpler phenomena? Nature Neuroscience.

Miri A, Warriner CL, Seely JS, Elsayed GF, Cunningham JP, Churchland MM, Jessell TM (2017). Behaviorally selective engagement of short-latency effector pathways by motor cortex. Neuron.

International Brain Lab (2017). An international laboratory for systems and computational neuroscience. Neuron.



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.