Russell Poldrack

About

Russell Poldrack is the Albert Ray Lang Professor of Psychology and, by courtesy, of Psychiatry and Behavioral Science at Stanford University. His academic appointments include memberships in the Bio-X program, the Wu Tsai Human Performance Alliance, and the Stanford Data Science faculty. He also serves as the Academic Director of the Center for Open and Reproducible Science and is a member of the Wu Tsai Neurosciences Institute. Poldrack's research focuses on cognitive science, decision making and rationality, and neurosciences. He grew up in a small town in Texas and attended Baylor University. After completing his PhD in experimental psychology at the University of Illinois in Urbana-Champaign, he spent four years as a postdoctoral researcher at Stanford. His faculty positions have included roles at Massachusetts General Hospital/Harvard Medical School, UCLA, and the University of Texas, before joining Stanford's faculty in 2014. Poldrack has held various leadership roles, including chairing the Organization for Human Brain Mapping and serving on advisory boards such as the National Institute of Mental Health and the Adolescent Brain Cognitive Development Study. His honors include the International KFJ Award from Copenhagen University Hospital, being named a Corresponding Fellow of the British Academy, and receiving the Open Science Award from the Organization for Human Brain Mapping.

Research topics

• Computer Science
• Data Mining
• Data science
• Political Science
• Neuroscience
• World Wide Web
• Computer Security
• Psychology
• Statistics
• Mathematics

Selected publications

• Variability in the analysis of a single neuroimaging dataset by many teams

  Nature · 2020 · 1174 citations

  DOI

• Analysis of task-based functional MRI data preprocessed with fMRIPrep

  Nature Protocols · 2020-06-08 · 320 citations

  articleOpen access
  PublisherOA PDFDOI

• Controversies and progress on standardization of large-scale brain network nomenclature

  Network Neuroscience · 2023 · 112 citations

  Progress in scientific disciplines is accompanied by standardization of terminology. Network neuroscience, at the level of macroscale organization of the brain, is beginning to confront the challenges associated with developing a taxonomy of its fundamental explanatory constructs. The Workgroup for HArmonized Taxonomy of NETworks (WHATNET) was formed in 2020 as an Organization for Human Brain Mapping (OHBM)-endorsed best practices committee to provide recommendations on points of consensus, iden…

  DOI

• brainlife.io: a decentralized and open-source cloud platform to support neuroscience research

  Nature Methods · 2024 · 64 citations

  Neuroscience is advancing standardization and tool development to support rigor and transparency. Consequently, data pipeline complexity has increased, hindering FAIR (findable, accessible, interoperable and reusable) access. brainlife.io was developed to democratize neuroimaging research. The platform provides data standardization, management, visualization and processing and automatically tracks the provenance history of thousands of data objects. Here, brainlife.io is described and evaluated…

  PublisherOA PDFDOI

• The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression

  NeuroImage · 2020 · 52 citations

  Through the Human Connectome Project (HCP) our understanding of the functional connectome of the healthy brain has been dramatically accelerated. Given the pressing public health need, we must increase our understanding of how connectome dysfunctions give rise to disordered mental states. Mental disorders arising from high levels of negative emotion or from the loss of positive emotional experience affect over 400 million people globally. Such states of disordered emotion cut across multiple dia…

  DOI

Recent grants

• CRCNS Data Sharing: An open data repository for cognitive neuroscience: The OpenfMRI Project

  NSF · $262k · 2014–2016

• BIDS-Derivatives: A data standard for derived data and models in the BRAIN Initiative

  NIH · $1.4M · 2017–2020

• OpenNeuro: An open archive for analysis and sharing of BRAIN Initiative data

  NIH · $10.2M · 2018–2028

Frequent coauthors

• Éric Miller

  Duke University Health System

  287 shared

• Anthony D. Wagner

  Stanford University

  287 shared

• Ralph Adolphs

  California Institute of Technology

  271 shared

• Marcus E. Raichle

  Washington University in St. Louis

  270 shared

• Stanislas Dehaene

  NeuroSpine Institute

  268 shared

• Renée Baillargeon

  University of Illinois Urbana-Champaign

  268 shared

• Patrick Scheffmann

  268 shared

• Nick Chater

  University of Warwick

  268 shared

Education

• Ph.D., Psychology

  University of Illinois

  1995

• B.A., Psychology

  Baylor University

  1989

Awards & honors

• KFJ Award, Copenhagen University Hospital (2023)
• Corresponding Fellow, The British Academy (2023)
• Open Science Award, Organization for Human Brain Mapping (20…
• Fellow, Organization for Human Brain Mapping (2021)
• Elected member, Society of Experimental Psychologists (2018)

Similar researchers at Stanford University

• Vinod Menonh-127
• Russ B. Altmanh-119
• Ronald Kaplanh-103