David Jangraw

I am an engineer, neuroscientist, and enthusiastic teacher with particular interests in naturalistic neuroengineering: the study of the human brain’s response to complex, realistic situations and the development of brain-computer interfaces designed for the real world. My research makes use of EEG, fMRI, eye tracking, brain-computer interfaces, and machine learning. My teaching makes creative use of technology and project-based learning to help students move towards solving real-world problems.

  • B.S.E. 2007: Princeton University, Electrical Engineering
    • Computational Independent Work with John Hopfield
  • Post-bac research 2008: Columbia University, Neuroscience
    • Jacqueline Gottlieb’s primate electrophysiology laboratory
  • M.S.-Ph.D. 2014: Columbia University, Biomedical Engineering
    • Paul Sajda’s Laboratory for Intelligent Imaging and Neural Computing (LIINC)
    • Co-developed new project-based course on Biomedical Instrumentation
  • Post-doc (2014-present): National Institute of Mental Health, NIH
    • Peter Bandettini’s Section on Functional Imaging Methods (SFIM)
  • Adjunct Professor (2016): American University
    • Taught introductory Psychology & Neuroscience course

The links above will take you to my publications, current research, past projects, and other information. The links at right lead to my code repositories and research profiles.

For a CV or more information about my work, please email me at david{dot}jangraw{at}nih{dot}gov.

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