We reveal the geometric signatures of natural and artificial intelligence.
We are physicists, neuroscientists, statisticians, mathematicians and computer scientists who develop methods to understand intelligence in human and artificial neural networks.
We use tools from geometry, topology, computer vision, machine learning and deep learning to reveal the structures of intelligence. Our findings inspire us to build next–generation intelligent systems: Geometric AI.
By creating geometric computational representations of human and artificial brains at different scales, we aim to transform theoretical, computational and clinical brain sciences. For the latter, we work with clinicians to advance medical knowledge and AI-assisted medical practice for brain sciences.
Geometric Intelligence Research
Geometry
The concepts of geometry and shapes are very intuitive to the human eye. How can we express and quantify geometries and shapes mathematically and in a computer? Learn more.
Artificial Intelligence
We research foundations of geometric deep learning and topological deep learning and ask: what is the geometry of a deep learning model? Can we build a geometric model of the (artificial) mind? Learn more.
Natural Intelligence
We explore the neural manifold hypothesis which postulates that the activity of (biological) neurons forms low-dimensional geometric subspaces -- the neural manifolds -- that reflect the structure of the outside world. Learn more.
Intelligence-Based Medicine
What are the geometric signatures of neurodegenerative diseases: what does a brain shape tell us about the progression of Alzheimer's disease? Why are women are twice at risk of Alzheimer's compared to men? Learn more.
Latest News
Nina Miolane Delivers Keynote Speech at CZI Imaging the Future
We are proud to share that Nina Miolane, PI of the Geometric Intelligence Lab, delivered a keynote speech at this year's CZI Imagine the Future event. Her presentation focused on critical issues of data disparity and the underrepresentation of women-specific health factors in published imaging research.
"Less than 0.5% percent of brain imaging articles published over the last 25 years consider health factors specific to women."
Read MoreNina Miolane Delivers Keynote Speech at CZI Imaging the Future
Nina Miolane Hosts with the Ann S. Bowers Women's Brain Health Initiative in New York
Our Principal Investigator, Nina Miolane, recently gave an engaging talk in New York City, hosted by the Ann S. Bowers Women's Brain Health Initiative and The Lower Eastside Girls Club. As a Co-Director of the WBHI AI Core, Dr. Miolane shared her insights on the AI digital twin of the maternal brain, contributing to the event's mission of advancing the study of women's brain health through deeply collaborative science.
Read MoreNina Miolane Hosts with the Ann S. Bowers Women's Brain Health Initiative in New York
Mathilde Papillon Receives the Prestigious Postgraduate Doctoral Scholarship
Mathilde Papillon, Ph.D. in the Geometric Intelligence Lab, has been awarded Canada's prestigious Postgraduate Doctoral Scholarship. She will receive 3 years of funding to develop imaginative and useful Topological Deep Learning tools for human movement.
This award recognizes her as a phenomenal graduate student and exceptional early career scientist!