Headshot of Russell Poldrack.

Russell Poldrack

Cognitive neuroscientist
Stanford University

Russell Poldrack is Albert Ray Lang Professor of Psychology at Stanford University in California and director of the Stanford Center for Open and Reproducible Science. His research uses a combination of neuroimaging, behavioral research and computational modeling to understand the brain systems underlying decision-making and cognitive control.

His lab also develops neuroinformatics tools to help improve the reproducibility and transparency of neuroscience, including the Openneuro and Neurovault data sharing projects and the fMRIPrep preprocessing workflow.

He received his Ph.D. from the University of Illinois Urbana-Champaign and did postdoctoral work at Stanford. He subsequently held faculty positions at Harvard Medical School, the University of California, Los Angeles, and the University of Texas at Austin before joining the Stanford faculty in 2014. He is the author of several books, including, most recently, “Statistical Thinking: Analyzing Data in an Uncertain World.”

Explore more from The Transmitter

Clockwise: lab mouse, zebrafish, octopus, rat pushing a cube, nematodes, fruit fly.

The term ‘model organism’ should be reserved for biological systems

By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.

By Marc Coutanche
13 November 2026 | 6 min read

New phase of BRAIN Initiative spawns basal ganglia ‘parts list’

With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.

By Claudia López Lloreda
12 November 2026 | 1 min watch
Research image showing genes containing microexons in mice.

Machine-learning model spots autism-linked variants that scramble splicing

The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.

By Giorgia Guglielmi
12 November 2026 | 4 min read