We reveal the geometric signatures of natural and artificial intelligence.
Understanding the brain is one of greatest scientific challenges of our time. We still don't know how thoughts emerge from neural activity, how our memories are stored and retrieved, or how our brain so flexibly adapts to new situations.
Meanwhile, today, an equally profound challenge has arisen: understanding the artificial intelligence (AI) emerging in machines of our own making.
In our lab, we believe that these challenges are linked.
Geometric Intelligence Research
We are physicists, neuroscientists, mathematicians and computer scientists who study intelligence in biological and artificial neural networks and use our findings to build better AI models.
Just as physics unified forces through symmetry and geometry, we show mathematically and empirically that human and machine intelligence can be studied under a common framework: geometric intelligence.
Geometric Intelligence in Machines
We study the mathematical properties of top-performing AI models. Using these properties, we design novel AI that succeeds where most models fail—delivering up to +66% higher accuracy or the same accuracy with 10× faster models—even when datasets are small, noisy, or complex (e.g., networks, and 3D shapes). Learn more.
Geometric Intelligence in Brains
We study how geometric patterns of neural activity obey mathematical principles across diverse cognitive functions—from navigation and memory to vision. Learn more.
Building Brain Digital Twins
We leverage shared mathematical principles of intelligence in brains and machines to build multiscale digital twins of the brain, simulating its function in both health and disease. 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
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)