Tool development

Hires, Samuel Andrew

Associate Professor of Biological Sciences

The Hires lab is investigating the basis of biological intelligence. Over the past decade we developed numerous imaging tools to record large-scale patterns of neural activity that are used by thousands of neuroscience labs. These have resulted in hundreds of publicly available datasets embedded with rich representations of neural activity. We are now developing analytical tools, using recent AI developments, to ultimately distill undiscovered principles of biological intelligence from these datasets.

Kaplan, Jonas

Associate Professor of Psychology

I study self, consciousness, and meaning-making in all of its forms, with a focus on understanding the neural systems that integrate information to form high level models of the world and of the self. This includes a focus on narrative cognition, and naturalistic fMRI methods that allow for the analysis of the real-time, ongoing neural dynamics that support our understanding of the people, events, and stories that make up our worlds.

Kim, Hosung

Associate Research Professor of Neurology

Currently, we are particularly focused on the morphometry of the perivascular space and non-invasive measurement of Glymphatic flow (a water flow system in the brain that helps clear waste products and toxins) using MRI and artificial intelligence. This research enhances our understanding of the underlying mechanisms involved in sleep disorders, accelerated brain aging due to poor sleep and impaired Glymphatic function, and neurodegenerative diseases such as Alzheimer's disease and other forms of dementia. Dr. Hosung Kim serves as the PI of NIDLL, and guides and coordinates the research efforts of the lab members. We welcome you to join the lab and participate in our valuable research.

Lepore, Natasha

Associate Professor of Research Radiology

My lab, the Computational Imaging of Brain Organization Research Group (CIBORG), focuses on developing advanced numerical methods to study brain anatomy and function using magnetic resonance imaging. Our work aims to deepen understanding of typical and atypical brain development, across both high- and low-resource settings. In parallel, we are creating software tools to support clinicians by providing quantitative assessments of medical images to enhance clinical decision-making.