Ariel Rokem, Ph.D.
Research Associate Professor
Degree From: University of California, BerkeleyInterests: Neuroinformatics, Data Science, Connectomics, Machine learning, Brain imaging, Human Neuroscience
Contact
| Office | Kincaid 546 |
|---|---|
| arokem@uw.edu | |
| Website(s) | Neuroinformatics R&D Group |
Advising
| Do I accept and train new psychology graduate students in general? |
|---|
| Yes |
| Am I accepting new graduate students in the upcoming year? |
| I am POSSIBLY accepting graduate students in 2022-2023, please contact me directly with questions |
| Advising Areas: |
| Quantitative Psychology Cognition and Perception |
Research
The brain is a tremendously complex system and in order to understand it we are going to need large amounts of data from many different kinds of measurements. Me and my colleagues use data science methods to integrate the information provided by these measurements into a coherent picture. In particular, we develop statistical analysis techniques to decipher the role of networks of brain areas in complex behaviors and in brain disorders, and I implement these techniques in robust, efficient, and openly-available computer software.
Selected Publications
- Kruper J, Yeatman JD, Richie-Halford A, et al. Evaluating the reliability of human brain white matter tractometry (in press). Aperture. https://www.biorxiv.org/content/10.1101/2021.02.24.432740v2
- Richie-Halford A, Yeatman JD, Simon N, Rokem A. Multidimensional analysis and detection of informative features in human brain white matter. PLoS Comput Biol. 2021;17(6):e1009136.