We turn biological shapes into biomedical insights.

Modeling the healthy and pathological shapes of proteins, cells and organs is critical for research in biology and medicine --- ranging from our understanding of cancers to the diagnosis of neurodegenerative diseases. 

We work in collaboration with experts in molecular and cell biology, as well as with clinicians, to advance the frontiers of biomedical knowledge and AI-assisted medical practice. 

Our lab leverages tools from geometry, topology, computer vision, machine learning and deep learning to create computational representations of biological structures in the human body at different scales. We are dedicated to contributing to the transformation of biology and medicine into statistically-grounded and computationally-enabled disciplines.

BioShape Research

Geometry and Learning

geometric art

How can we represent biological shapes with their normal and pathological variabilities into a computer? What is the geometry of a deep learning model? Can we build a geometric model of the mind? Learn more.

Computational Biology

blood cells

Can we reconstruct molecular shapes at a sub-atomic resolution? How do protein shapes determine their function? What information do cancer cell shapes reveal about cancer types? Learn more.

Computational Medicine

brain mris

What does a brain shape tell us about the progression of Alzheimer's disease? What is the uncertainty associated with automatic diagnosis methods relying on organ shape analysis? How can AI best assist clinicians? Learn more.

Latest News

News

BioShape Lab is awarded the NSF SCALE MoDL Grant on Mathematical and Scientific Foundations of Deep Learning

We are excited and honored that our group was awarded the NSF SCALE MoDL Grant "Stimulating Collaborative Advances Leveraging Expertise in the Mathematical and Scientific Foundations of Deep Learning". We aim to provide a unified geometric and topological framework grounded in cell complex neural networks to explain and enhance deep learning architectures, with applications to biological shape analysis.

Continue ReadingBioShape Lab is awarded the NSF SCALE MoDL Grant on Mathematical and Scientific Foundations of Deep Learning


BioShape Lab is awarded a NIH R01 grant for biological shape reconstruction

We are excited and honored that our group was awarded a NIH R01 grant for the introduction of geometric and deep learning methods to enhance 3D biological shape reconstruction. We aim to reveal the shapes of membrane proteins, these biomolecules targeted by over 50% of the pharmaceutical drugs, yet still difficult to image.

Continue ReadingBioShape Lab is awarded a NIH R01 grant for biological shape reconstruction