Computational Neuroimaging Lab

Accelerating the pace of scientific discovery will take more than data generation alone. Innovation is required in the analytic tools and frameworks employed by scientists. This is especially true for efforts to unravel the mysteries of the web of connections in the human brain, increasingly referred to as the “Human Connectome.” The Computational Neuroimaging Lab is dedicated to finding useful solutions to complex problems and sharing them with the scientific community.

The lab’s research agenda involves the development of novel computational analysis and experimental techniques for determining how brain function and structure are impacted by mental illness and development. Our researchers are developing real-time fMRI experiments to evaluate the interaction between brain networks, and are applying machine learning and signal processing methods to describe how individual brains differ. Lab staff are also optimizing MRI techniques to better include more of the pediatric and psychiatric populations in research, a critical necessity if we are to focus on developing solutions for children.

Our Team

Cameron Craddock, PhD
Cameron Craddock, PhD

Volunteer Research Scientist

Child Mind Institute

Caroline Froehlich, MS

Assistant Research Scientist, Computational Neuroimaging Lab

Child Mind Institue

Steven Giavasis, MS
Steven Giavasis, MS

Supervising Research Engineer

Child Mind Institute

Alexander Opitz, PhD

Post-Doctoral Fellow, Computational Neuroimaging Lab and Center for the Developing Brain

Child Mind Institue

John Pellman
John Pellman

Research Assistant, Computational Neuroimaging Lab

Child Mind Institute

James Pooley, PhD

Post-Doctoral Fellow, Computational Neuroimaging Lab

Child Mind Institute

Alison Walensky, MSE

Research Operations Coordinator, Computational Neuroimaging Lab

Child Mind Institute

Ting Xu, PhD
Ting Xu, PhD

Research Scientist, Center for the Developing Brain

Child Mind Institute