Craig Moodie

Ph.D. 2014

E-mail: [email protected]

Thesis Title:

Neurometric Encoding and Decoding: Using Multivariate Functional Connectivity Methods to Describe Cognitive States, Traits and Clinical Endophenotypes

Current Position:

Data Scientist, Neumora

Previous Position(s):

Data Scientist, Neuroimaging at Black Thorn Therapeutics

Postdoctoral Fellow, Psychology Department, Stanford University

Undergraduate Institution and Major/Degree:

B.A. Neuroscience, Psychology, May 2006, Macalester College, St. Paul, MN

Major Advisor(s):

Research Description:

I primarily study the brain's in-vivo functional connectivity. Most of my projects center around developing and implementing novel independent component analyses (ICA) and graph theory approaches for fcMRI research. I am currently applying these techniques to two behavioral genetics studies, MR pulse sequence development and implementation, and the development of psychiatric diagnostic tools (currently for schizophrenia, Parkinson's and substance abuse).

Lab Rotations:

  • Matthew Chaffee
  • Angus MacDonald III
  • Kelvin Lim
  • Cheryl Olman

Courses Taken Beyond the Core Courses:

  • BIOC 4332 - Biochemistry II: Molecular Mechanisms of Signal Transduction and Gene Expression
  • PSY 8935 - Readings in Behavioral Genetics and Individual Differences
  • CSCI 5461 - Functional Genomics, Systems Biology, and Bioinformatics
  • Psy 5065 - Functional Magnetic Resonance Imaging: Hands-on Training
  • Psy 8814 - Analysis of Psychological Data
  • Psy 8815 - Analysis of Psychological Data II

Graduate Level Minor:

  • Functional Connectivity MRI and Behavioral Genetics

Conferences Attended and Presentations:

  • Society for Neuroscience 2010, 2012
  • 19th Annual Meeting of the Cognitive Neuroscience Society, 2012
  • Annual Biomedical Research Conference for Minority Students, 2012

Committee Member:

  • Matt Chafee - Chair
  • Angus MacDonald III
  • Kelvin Lim
  • Scott Sponheim


  • Abram SV, Helwig NE, Moodie CA, DeYoung CG, MacDonald AW 3rd, Waller NG. Bootstrap enhanced penalized regression for variable selection with neuroimaging data. Front Neurosci. 2016 Jul 28;10:344.
  • Moodie CA, Wisner KM, MacDonald AW 3rd. Characteristics of canonical intrinsic connectivity networks across tasks and monozygotic twin pairs. Hum Brain Mapp. 2014;35(11):5532-5549.
  • MacDonald A, El Shaikh A, Moodie CA, Poppe A, Ramsay I, Wisner, K. Schizophrenic Disorders. Oxford Bibliographies Online: Psychology. New York: Oxford University Press.2013. doi: 10.1093/obo/9780199828340-0105


  • Goerke, U., Moodie, CA, Wisner, K. M., MacDonald, A.W. III (2013, April). Using 2D Parallel Imaging in RASER for True Whole Brain fMRI at 7 T. Poster presented at the 21st Annual Meeting of the International Society for Magnetic Resonance in Medicine, Salt Lake City, UT.
  • Moodie, CA, Roy, A., & Lim, K. O. (2012, October). Bridging the Gap in Intrinsic Connectivity: The Application of Graph Metrics to ICA-derived Networks. Poster presented at the 18th Annual Meeting of the Society for Neuroscience, New Orleans, LA.
  • Moodie, CA, Wisner, K. M. & MacDonald III, A. W. (2012, March). Assessing the Trait-Like Characteristics of Intrinsic Connectivity. Poster presented at the 19th Annual Meeting of the Cognitive Neuroscience Society, Chicago, IL.

Awards and Honors:

  • Milne Brandenburg Award
  • Frederick M. Stark Travel Award - 2014

Professional Memberships:

  • Society for Neuroscience
  • Cognitive Neuroscience Society

Home Town:

  • Kingston, Jamaica
Craig Moodie