Ariel Rokem, Ph.D.
Research Associate ProfessorDegree From: University of California, Berkeley
Interests: Neuroinformatics, Data Science, Connectomics, Machine learning, Brain imaging, Human Neuroscience
|Do I accept and train new psychology graduate students in general?|
|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|
|Quantitative Psychology Cognition and Perception|
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.
- 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.
In the News
- December 16, 2020 The College Council and Dean have recommended to the Provost that Ariel Rokem be promoted to Research Associate Professor.