The Krembil Centre for Neuroinformatics is excited to host Dr. Ariel Rokem in our offices and virtually on Wednesday June 18th, 10a.m. – 11a.m.
Title: Neuroimaging data analysis in the age of AI
Abstract: Neuroimaging data contains enormous amounts of information about brain structure and function. To address the challenges of neuroimaging data analysis -- the high dimensionality of the data, the scale of modern neuroimaging datasets, and its inherent complexity, we use a range of Artificial Intelligence (AI) methods. In our hands, these methods enable scalable research pipelines, uncover complex relationships in data, and extract new kinds of biological information from existing data. I will demonstrate these applications of AI with a few projects that my group has executed in the last few years. One of the challenges of these methods is their lack of transparency and interpretability, and I will also show how we address these challenges using methods for AI interpretation. Finally, new AI models and methods promise to represent generalizable knowledge about brain structure and function that can be applied to many different questions. I will discuss ongoing and future work that aims to deliver on this promise.
Short bio: Ariel Rokem (https://arokem.org) received a PhD in neuroscience from UC Berkeley (2010) and postdoctoral training at Stanford (2011 - 2015). He was a Data Scientist at the University of Washington eScience Institute (2015-2020), before joining the Department of Psychology in 2020, where he leads a neuroinformatics-focused R&D group (https://neuroinformatics.uw.edu).
Webex Link:
https://camh.webex.com/camh/j.php?MTID=m6e29a64cd8bd865b9d5a26b98c45452b |
This lecture will be open to the CAMH community please feel free to forward on to your collaborators and community.