We use mathematics to unify the study of intelligence in brains and machines.
In neuroscience, we still don’t know how large populations of neurons give rise to perception, memory, and learning. In AI/ML, we face significant challenges to understand systems of our own making, leaving them hard to control and trust.
Our lab's hypothesis is that we lack appropriate mathematics that reveals the principles of intelligence in brains and machines. Our research develops the missing framework, uses it to formalize a theory of intelligence across substrates, and builds it into novel artificial neural networks to deliver superior performance without necessarily scaling data, parameters, or compute.
Geometric Intelligence Research
Just as physicists used geometry to build unification theories, we show that brain and machine intelligences can be studied under a common mathematical framework: geometric intelligence.
Geometric Intelligence in Machines
We study the properties of top-performing AI models and design mathematical approaches to improve them. Learn more.
Geometric Intelligence in Brains
We study patterns of neural activity across diverse cognitive functions—from navigation and memory to vision. Learn more.
Building Brain Digital Twins
We use AI models to build digital twins of the brain, simulating its function in both health and disease. Learn more.
Latest News
Dr. Nina Miolane Hosts with the Ann S. Bowers Women's Brain Health Initiative in New York
Geometric Intelligence Principal Investigator, Dr. 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 MoreDr. Nina 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!
Louisa Cornelis Receives the Prestigious NSF Graduate Research Fellowship (GRFP)
Louisa Cornelis, Ph.D. in the Geometric Intelligence Lab, has been awarded the prestigious NSF GRFP fellowship. She will receive 3 years of funding to develop novel cutting-edge methodology to analyze proteomics data for women’s brain health.
This award recognizes her as an outstanding graduate student & high-achieving early career scientist!
Read MoreLouisa Cornelis Receives the Prestigious NSF Graduate Research Fellowship (GRFP)