Discover our research with these talks on geometric intelligence —the mathematical principles through which brains and machines process data— and how it guides our design of next-gen AI targeted to small, noisy datasets in biomedicine and beyond.

Distinguished Lecture, Keynotes & Workshop Keynotes

  1. Opening Keynote, Geometric Science of Information (GSI), Saint-Malo. Topological Deep Learning (2025).

  2. Keynote, NeurIPS Workshop on New Perspectives in Graph ML. Topological Deep Learning (2025).

  3. Keynote, NeurIPS Workshop Mouse vs AI. The Algebra of Spatial Navigation (2025).

  4. Annual Tutte Lecture, Distinguished Speaker, Ottawa. Geometric Computations in Natural and Artificial Brains (2024).

  5. Closing Keynote, CZI Imaging The Future Annual Event. From Nano to Macro: Unlocking the Brain with AI-Driven Imaging Insights (2024).

  6. Keynote, CVPR Workshop on Equivariance in Vision. Hierarchical Equivariance in Artificial and Natural Brains (2024).

  7. Keynote, CVPR Workshop on Topology, Algebra and Geometry. Architectures of Topological Deep Learning (2023).

  8. Keynote, CVPR Workshop on Deep Learning for Geometric Computing. Shape Learning in Biomedical Imaging (2022).

Invited Talks at External Venues

  1. UC Berkeley, Redwood Center for Theoretical Neuroscience. Geometric Intelligencein Brains and Machines (August 2026).

  2. Goodfire. Geometric Intelligencein Brains and Machines (August 2026).

  3. Long Now Foundation, San Francisco. The Geometry of Consciousness (April 2026).

  4. International Winter Neuroscience Conference. Symmetry in Brains and Machines (April 2026).

  5. University of Texas, Dallas' School of Behavioral and Brain Sciences, Center for Brain Health. Digital Twin Brain to Catapult Precision Brain Health (February 2026).

  6. McMaster University Seminar. Topological Deep Learning (October 2025).

  7. Montecito Ideas Club. Healthy and Pathological Aging: Unlocking the Brain with AI. (Outreach) (October 2025).

  8. Cold Spring Harbor Laboratory Seminar Series. Geometric Intelligence in Minds and Machines (July 2025).

  9. Stanford University, Workshop Bridging Biology and Statistics In Honor of Professor Holmes. The Role of AI in Advancing Women's Brain Health (June 2025).

  10. NSF-Simons National Institute for Mathematics and Theory in Biology (NITMB), Workshop New Developments in the Theory and Methodology of Graph Neural Networks. Topological Deep Learning (April 2025).

  11. Instituto de Matemáticas, Geometric Intelligence Workshop. Geometric Intelligence in Minds and Machines (April 2025).

  12. COSYNE Workshop on GNNs and Graphical Analysis in Neuroscience. A Survey of Message Passing Topological Neural Networks (March 2025).

  13. University of Texas, Dallas' School of Behavioral and Brain Sciences, Center for Brain Health. AI and the Digital Twin Brain (February 2025).

  14. NeurReps Seminar Series. Geometric Intelligence in Minds and Machines (February 2025).

  15. Chan-Zuckerberg Initiative Seminar. Leveraging AI for Women's Brain Health Research (February 2025).

  16. Erwin Schrödinger International Institute. G-Invariance in G-Equivariant Networks (February 2025).

  17. Noyce Foundation Annual Event. The Role of AI in Advancing Women's Brain Health (October 2024).

  18. Cognitive Computational Neuroscience Conference, Battle of the Metrics Community Event. Riemannian Geometry of Neural Representations in Natural and Artificial Intelligence (August 2024).

  19. ICML Workshop on Geometry-grounded Representation Learning and Generative Modeling. Geometric Intelligence (July 2024).

  20. Eresfjord School in Mathematical Methods in Computational Neuroscience. Hierarchical Equivariance in Artificial and Natural Brains (July 2024).

  21. MIT DHIVE Program. Digital Twins and the Role of AI in Advancing Women's Brain Health (June 2024).

  22. UC Riverside Seminar. Robust G-Invariance in G-Equivariant Networks (May 2024).

  23. Bowers Women's Brain Health Seminar. Digital Twins and the Role of AI in Advancing Women's Brain Health (May 2024).

  24. Caltech's Math & Machine Learning Seminar. Robust G-Invariance in G-Equivariant Networks (February 2024).

  25. University of Chicago, Institute for Mathematical and Statistical Innovation, Workshop on Graph Neural Networks for the Sciences. A Survey of Message Passing Topological Neural Networks (January 2024).

  26. Harvard University, Department of Applied Mathematics. The Differential Geometry of Neural Manifolds (November 2023).

  27. University of North Carolina at Chapel Hill, Applied Physical Sciences Colloquium. Architectures of Topological Deep Learning: A Survey of Topological Neural Networks (November 2023).

  28. MIT Summer School of Geometry. Architectures of Topological Deep Learning: A Survey of Topological Neural Networks (August 2023).

  29. Eresfjord School in Mathematical Methods in Computational Neuroscience. Geometry and Topology of Neural Manifolds (July 2023).

  30. University of British Columbia, Center for Brain Health. Architectures of Topological Deep Learning: A Survey of Topological Neural Networks (June 2023).

  31. CVPR Workshop on Computational Cameras and Displays. Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy: A Survey (June 2023).

  32. Flatiron Institute, Simons Foundation, CryoEM Summer Workshop. Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy (June 2023).

  33. UCLA Applied Mathematics Seminar. Coding Differential Geometry for Machine Learning (May 2023).

  34. IEEE Central Coast Event Talk. Geometric Learning for Shape Analysis from Bioimaging Data (April 2023).

  35. Data Science Initiative at SISSA. Bioshape Analysis with Geometric Learning (January 2023).

  36. INRIA Saclay, Seminar of the SODA and MIND (previously Parietal) teams. Geomstats: A Python Package for Geometry in Machine Learning (October 2022).

  37. Institut Poincaré, Workshop on Geometry, Topology in Statistics and Data Science. Geomstats: A Python Package for Geometry in Machine Learning (October 2022).

  38. SIAM Conference on Mathematics of Data Science, Mini Symposium of Statistics and Machine Learning in Topological and Geometric Data Analysis. Geomstats: A Python Package for Differential Geometry in Machine Learning (September 2022).

  39. Geo2Int (Geometry and Geometric Integration) Workshop. Geomstats: A Python Package for Differential Geometry in Machine Learning (September 2022).

  40. University of Washington, eScience Institute Seminar. Geometric Learning for Shape Analysis in Bioimaging (June 2022).

  41. Sage Math Conference. Geomstats: A Python Package for Differential Geometry in Machine Learning (June 2022).

  42. Pacific Institute for the Mathematical Sciences (PIMS) Workshop. CompSPI: Open-Source Software for Biological Imaging (May 2022).

  43. Johns Hopkins University, Center for Imaging Science Workshop. Geometric Learning for Shape Analysis from Bioimaging (May 2022).

Invited Talks at UCSB

  1. UCSB AI Library. AI-Powered Science and the Digital Twin Revolution. (Outreach) (May 2026).

  2. UCSB Physics Colloquium. Symmetry in Brains and Machines (March 2026).

  3. UCSB REAL AI for Science Initiative. AI-Powered Science and the Digital Twin Revolution. (Outreach) (February 2026).

  4. UCSB Spatial Navigation. The Geometry and Algebra of Spatial Navigation (January 2026).

  5. UCSB Center for Aging and Longevity. Direct Relief, Santa Barbara. Healthy and Pathological Aging: Unlocking the Brain with AI. (Outreach) (June 2025).

  6. UCSB Physics Graduate Seminar. From Theoretical Physics to Geometric Intelligence (February 2024).

  7. UCSB Workshop Spatial Data Science in an Age of Scientific Disruption. Geometric Artificial Intelligence. (Outreach) (December 2023).

  8. UCSB ECE Summit. Advancing Biomedicine with AI for Shape Analysis (April 2023).

  9. UCSB WISE Panels. Women in Science & Engineering: Academic Careers (Outreach) (April 2023).

  10. UCSB Differential Geometry Seminar. Geomstats: Coding Differential Geometry for Machine Learning (February 2023).

  11. UCSB Physics Graduate Seminar. Riemannian Geometry: From General Relativity to Biomedical Imaging (February 2023).

  12. UCSB Machine Learning Seminar. Geometric Machine Learning (January 2023).

  13. UCSB ECE Graduate Seminar. Geometric Machine Learning (November 2022).

  14. UCSB Cryo-EM FIB Forum. Deep Generative Models for Molecular Reconstructions in Cryo-Electron Microscopy (April 2022).

  15. UCSB Psych & Brain Sciences Seminar. Brain Shapes (March 2022).

  16. UCSB CS Summit. Biomedical Shape Analysis with Geometric Learning (March 2022).

  17. UCSB Materials Research Outreach Symposium. Shape Learning: From Images to Scientific Insights. (Outreach) (January 2022).

  18. UCSB Physics Colloquium. Riemannian Geometry: From General Relativity to Biomedical Imaging (January 2022).