Research in our lab uses computational modeling and analysis of large-scale data sets to understand complex biological networks of the brain. These networks are sophisticated systems composed of thousands to billions of elements, such as genes or individual brain cells, all working together to achieve a biological function. Although we understand a great deal about the working of individual network elements, putting this information together to explain how networks function is a challenge that requires combining empirical data with new computational, statistical and conceptual approaches.

Specific questions we are addressing include:

Projects in Detail