Bio
Ariel Rokem is a Research Associate Professor at the University of Washington Department of Psychology. He received a PhD in Neuroscience from UC Berkeley (2010) and additional postdoctoral training in computational neuroimaging at Stanford (2011 – 2015). He was also previously a Senior Data Scientist at the University of Washington eScience Institute (2015-2020)
He leads a research program in neuroinformatics, the development of data science tools, techniques and methods and their application to the analysis of neural data. One thrust of this research focuses specifically on the application of methods from statistical learning to analysis of diffusion MRI data acquired in human brain. This type of data sheds light on the role that human brain connections play in cognitive abilities, in diverse behaviors, and in neurological and psychiatric disorders.
Another thrust of the research focuses specifically on the development of systems for analysis (e.g., Mehta et al. 2017, Richford and Rokem, 2018) and sharing (e.g. Yeatman et al. 2018) of large-scale open datasets, to enable research with datasets that are increasingly becoming available through data-sharing initiatives, and to facilitate its reproducibility.
He is a member of the Software and Data Carpentry communities, where he has been an instructor since 2013 and an instructor trainer 2015. He also directs the annual Summer Institute for Neuroimaging and Data Science (NeuroHackademy). A contributor to multiple open-source software projects in the scientific Python ecosystem, he is a member of the editorial board of the Journal for Open Source Software (JOSS).
Archived Neurohackademy Lectures
2026
1st
Mon
9:00am
▶
Welcome to the NeuroHackademy!
2026
1st
Mon
1:30pm
▶
Designing Libraries in Python
2026
1st
Tue
10:30am
▶
Week-1 Group Projects: Introduction
2026
1st
Tue
1:30pm
▶
Collaboration using Git (103)
2026
1st
Wed
9:00am
Week 1 Group Projects: Work Time
2026
1st
Wed
1:30pm
▶
Machine Learning in Python
2026
1st
Fri
9:00am
▶
Dataset Showcase
2025
1st
Mon
9:00am
▶
Welcome to NeuroHackademy!
2025
1st
Tue
10:30am
▶
Designing and implementing Python libraries
2025
1st
Tue
1:30pm
▶
Collaboration patterns with git and GitHub
2025
1st
Tue
3:30pm
▶
Introduction to machine learning (scikit learn)
2025
1st
Wed
3:30pm
Hands on group projects
2025
1st
Fri
9:00am
▶
Dataset showcase
2025
1st
Fri
1:30pm
Hands on group projects
2024
1st
Mon
9:00am
▶
Welcome to NeuroHackademy!
2024
1st
Tue
10:30am
▶
Designing and implementing Python libraries
2024
1st
Tue
1:30pm
▶
Collaboration patterns with git and GitHub
2024
1st
Wed
1:30pm
▶
Introduction to machine learning
2024
1st
Fri
10:30am
▶
Dataset showcase
2024
1st
Fri
3:30pm
▶
Review sessions
2023
1st
Mon
9:00am
Introduction to NeuroHackademy
2023
1st
Tue
10:30am
▶
Building software libraries in Python
2023
1st
Tue
1:30pm
▶
Collaboration patterns with git/GitHub
2023
1st
Wed
3:30pm
▶
Introduction to Machine Learning
2023
1st
Fri
10:30am
▶
The Brain Imaging Data Structure
2023
1st
Fri
1:30pm
▶
Data showcase
2023
1st
Fri
3:30pm
▶
Review sessions
2022
1st
Mon
9:00am
▶
Welcome to NeuroHackademy
2022
1st
Tue
9:00am
▶
Data management in Python/Pandas
2022
1st
Tue
1:30pm
▶
Collaboration patterns with Git
2022
1st
Wed
9:00am
▶
Data visualization in Python
2022
1st
Wed
3:30pm
▶
Introduction to machine learning / scikit learn
2022
1st
Thu
9:00am
▶
Parallelization with Python/Dask
2022
1st
Fri
3:30pm
▶
Review session 2
2022
2nd
Tue
3:30pm
▶
Breakout session
2022
2nd
Wed
3:30pm
▶
Breakout session
2021
1st
Mon
9:30am
▶
Welcome!
2021
1st
Mon
11:30am
▶
Cloud computing
2021
1st
Tue
10:30am
▶
Using git and GitHub for collaboration
2021
1st
Wed
11:30am
▶
Machine learning in Python
2021
1st
Thu
11:30am
▶
Using git and GitHub for collaboration
2021
1st
Fri
9:40am
▶
Data visualization in Python
2020
1st
Mon
7:00am
▶
Introduction to NeuroHackademy
2020
1st
Mon
12:00pm
▶
High-performance Python
2020
1st
Thu
9:00am
▶
Cloud computing for neuroimaging
2020
1st
Fri
7:00am
Brain hacking 101
2019
1st
Mon
9:00am
Introduction to NeuroHackademy
2019
1st
Tue
10:00am
Building Python libraries
2019
1st
Tue
1:00pm
High-performance Python
2019
1st
Thu
3:00pm
▶
Cloud computing
2019
1st
Fri
3:00pm
▶
Deep learning
2018
1st
Mon
9:00am
Introduction to Neurohackweek
2018
1st
Tue
1:00pm
▶
Python packaging
2018
1st
Tue
3:30pm
High-performance Python
2018
1st
Tue
5:00pm
▶
Deep learning with Keras
2018
1st
Wed
9:00am
Deep learning with Keras (part 2)
2018
1st
Thu
9:00am
▶
Cloud Computing for Neuroimaging
2017
1st
Mon
9:00am
Introduction to Neurohackweek
2016
1st
Mon
9:00am
Introduction to Neurohackweek
2016
1st
Mon
11:00am
Cython and numba
2016
1st
Wed
9:00am
Image processing
