Big Data in the Psychological Sciences, W.A. Bainbridge

Wilma Bainbridge is an Associate Professor in the Department of Psychology at the University of Chicago where she researches the interaction of perception and memory using behavioral, computational, and neuroscientific methods. She received her B.A. in Cognitive Science from Yale University, and her Ph.D in Brain & Cognitive Sciences at MIT with Aude Oliva. She completed a postdoctoral fellowship under an Intramural Research Training Award at the National Institute of Mental Health with Chris Baker before coming to the University of Chicago in 2020. As faculty, her work has been recognized by awards including an Association for Psychological Science Rising Stars Award, the F.J. McGuigan Early Career Research Award, an Alfred P. Sloan Foundation Fellowship in Neuroscience, and an APA Distinguished Scientific Award for an Early Career Contribution to Psychology.

Visit her lab website or her personal website to learn more about Wilma and her research.

Menu

  • Homepage
  • 1: What is Big Data?
  • 2: What is Small Data?
  • 3: Big Participant Samples
  • 4: Big Stimulus Sets
  • 5: Big Experiments
  • 6: Big Artificial Intelligence
  • 7: Big Human Intelligence
  • 8: Big Software
  • 9: Big Hardware
  • 10: Big Brain Data
  • 11: Big Language
  • 12: Big Social Interactions

Get in touch

  • brainbridgelab (at) gmail (dot) com
  • Biopsychological Sciences Building
    University of Chicago

© Wilma A. Bainbridge. All rights reserved. Demo Images: Unsplash. Design: HTML5 UP.