Computational Brain Imaging Group

There is a deluge of data across scientific disciplines. Future scientific breakthroughs will rely on algorithms to explore these massive data. Our group develops machine learning algorithms to automatically generate scientific discoveries from population-level datasets with brain MRI, behavioral, genetic and other physiological measures. 

We are particularly interested in mapping brain networks in individuals and using brain network features to predict individual-level behavioral traits, mental disorder symptoms and disease progression. Insights from population-level studies are in turn used to develop N-of-1 mental disorder treatment in individuals.