Molecular & Cellular Shape Analysis
For Computational Biology
Proteins and cells adopt varying shapes to fulfill essential functions in living organisms. How can we best observe this extremely coordinated "dance of life" that happens at the nano- and micro-scales? How can we image protein shapes with a sub-atomic resolution? What information do protein shapes reveal about their function? Unusual shapes also play the role of biological whistleblower. What information do cancer cell shapes reveal about cancer types and stages? Learn more.
Anatomical Shape Analysis
For Computational Medicine
Bioshape analysis may hold the key to unlock outstanding mysteries in medicine. What does a brain shape tell us about the progression of Alzheimer's disease? How do brain shapes vary with hormonal levels, e.g., during the menstrual cycle of a woman? Knowing that women are twice at risk of Alzheimer's compared to men: could answers to the two previous questions be related? Overall, how can AI best assist medical researchers and clinicians? Learn more.
Foundations of Geometry & Learning
For Shape Analysis
Shape analysis raises a number of fascinating questions at the intersection of geometry and AI. How can we quantify biological shapes with their normal and pathological variability? How can we build reliable shape analysis methods for computational biomedicine? Beyond biomedicine, we research foundations of geometric learning and ask: what is the geometry of a deep learning model? can we build a geometric model of the (artificial) mind? Learn more.