Ariel Rokem

PeerJ Author & Reviewer

Summary

Ariel Rokem is a data scientist at the University of Washington eScience Institute, where he collaborates with researchers from a variety of fields to advance data-intensive discovery. Trained in cognitive neuroscience (PhD; UC Berkeley, 2010) and computational neuroimaging (Postdoc; Stanford 2011-2014), he continues to be a major contributor to open source software that makes human neuroscience more transparent, more reproducible, and more powerful.

Data Science Neuroscience Psychiatry & Psychology Radiology & Medical Imaging Scientific Computing & Simulation Software Engineering

Editing Journals

Past or current institution affiliations

University of Washington

Work details

Data Scientist

University of Washington

March 2015

The eScience Institute

Websites

Google Scholar

February 12, 2018

Journal of Open Source Software (JOSS): design and first-year review

Arfon M. Smith, Kyle E. Niemeyer, Daniel S. Katz, Lorena A. Barba, George Githinji, Melissa Gymrek, Kathryn D. Huff, Christopher R. Madan, Abigail Cabunoc Mayes, Kevin M. Moerman, Pjotr Prins, Karthik Ram, Ariel Rokem, Tracy K. Teal, Roman Valls Guimera, Jacob T. Vanderplas

https://doi.org/10.7717/peerj-cs.147

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

January 24, 2017

No apparent influence of psychometrically-defined schizotypy on orientation-dependent contextual modulation of visual contrast detection

Damien J. Mannion, Chris Donkin, Thomas J. Whitford

https://doi.org/10.7717/peerj.2921 PubMed 28149692