Biological Sciences, Health Sciences, Reproducibility & Open Science
Trained in cognitive neuroscience (PhD: UC Berkeley, 2010) and computational neuroimaging (Postdoc, Stanford, 2011-2015), Ariel Rokem is now a data scientist at the University of Washington eScience Institute, where he continues to develop software for the analysis of human neuroimaging data, develops tools for reproducible and open research practices, and collaborates with researchers from a variety of fields to advance data-intensive research.
- Tuesdays: 11am-12pm
- Version control (git/github)
- Reproducible research
- Machine learning/statistical learning
- Neuroscience and biomedical imaging
- Data visualization