The Neuroscience Precision Research & Idiographic Statistical Methods (NeuroPRISM) Lab, led by Dr. Stephanie Noble in the Center for Cognitive and Brain Health at Northeastern University, creates computational and statistical tools for precision neuroscience research. Our use of "precision neuroscience" is intended to invoke both measurement theory and precision medicine concepts.
We aim to use fundamental measurement principles and individual-centered methods to advance brain-behavior understanding and prediction. To set the stage for this research program, we have developed approaches to improve detection of brain-behavior relationships based on our work characterizing measurement and signal properties. Furthermore, we have a longstanding commitment to providing best practices for machine learning and big data analysis, especially for predicting psychiatric and developmental outcomes. The overarching motivation for these goals is one that the field is growing to embrace: more precise inferential and predictive methods are needed to accelerate discovery in health and disease. Many neuroscience-related research areas have faced an explosion in the size and complexity of data and methods, and we aim to explore solutions to problems that span disciplines.
Want to get in touch? We are always open to new opportunities and collaborations—don't hesitate to contact us through any of the links below.
Update: We are now hiring! Learn more about new and ongoing opportunities here.