Tor Wager
Professor at University of Colorado
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolTor Wager is a Professor of Psychology and Neuroscience at the University of Colorado Boulder who leads the Cognitive and Affective Neuroscience Laboratory, combining rigorous experimental work on how cognition shapes affective experience with methodological innovation in fMRI analysis. Trained at the University of Michigan and formerly on faculty at Columbia, he has directed his lab since 2010 and built widely used, publicly available software toolboxes and courses that translate advanced neuroimaging methods into accessible resources. His research uniquely bridges affective learning, brain–body communication, and analytic tool development, and he disseminates this work through a book, a Coursera course, and an active YouTube channel. Based in Boulder, he blends deep academic scholarship with practical training initiatives that broaden the reach of neuroimaging techniques.
11 years of coding experience
University of MichiganPsychology, Psychology at University of Colorado Boulder
Github Skills (20)
bootstrap10
testing10
statistics10
kernel-density10
machine-learning10
matlab10
connectivity10
neuroscience10
correlation10
meta-analysis10
neuroimaging10
correspondence-analysis10
is-object10
data-analysis10
psych9
Programming languages (3)
Github contributions (5)
canlab/canlab.github.io
Jul 2018 - Oct 2022
Contributions:112 commits, 109 pushes, 2 branches in 4 years 3 months
canlab/Lindquist_Dynamic_Correlation
May 2015 - Jun 2016
Martin Lindquist's dynamic correlation toolboxes. Designed for fMRI analysis, useful for other applications too.
Contributions:10 commits, 9 pushes, 1 branch in 1 year 1 month
data-storagemeta-analysisfmricorrelationgamma
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