Ariel Rokem

Image of Ariel Rokem

Ariel Rokem, Ph.D.

Research Associate Professor
Kincaid 546
Advising: Possibly accepting new graduate students in 2025-2026, please email with questions.
Interests: Neuroinformatics, Data Science, Connectomics, Machine learning, Brain imaging, Human Neuroscience


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.


University of California, Berkeley (2010)

  • Grotheer, M., Bloom, D., Kruper, J., Richie-Halford, A., Zika, S., Aguilera González, V. A., ... & Rokem, A. (2023). Human white matter myelinates faster in utero than ex utero. Proceedings of the National Academy of Sciences, 120(33), e2303491120.
  • Richie-Halford, A., Cieslak, M., Ai, L. et al. An analysis-ready and quality controlled resource for pediatric brain white-matter research. Sci Data 9, 616 (2022).
  • Kruper J, Yeatman JD, Richie-Halford A, et al. Evaluating the reliability of human brain white matter tractometry. Aperture Neuro 1: 1–25
  • Mehta, P., Petersen, C. A., Wen, J. C., Banitt, M. R., Chen, P. P., Bojikian, K. D., Egan, C., Lee, S. I., Balazinska, M., Lee, A. Y., Rokem, A., & UK Biobank Eye and Vision Consortium (2021). Automated Detection of Glaucoma With Interpretable Machine Learning Using Clinical Data and Multimodal Retinal Images. American journal of ophthalmology, 231, 154–169.
  • 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.