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


We win the 1st Prize in the C3.ai Covid-19 Grand Challenge

In the C3.ai COVID-19 Grand Challenge, developers, data scientists, students, and creative minds around the world developed meaningful data-driven insights to inform decision makers and change how the world is fighting this pandemic.

Our solution "Modeling Population Heterogeneity by Providing Personalized Covid-19 Diagnostics" with C. Donnat and F. Bunbury won the first prize of $100,000!

Continue ReadingWe win the 1st Prize in the C3.ai Covid-19 Grand Challenge

Results of the ICLR 2021 Geometry and Topology Challenge

We are excited to publish the results of the computational geometry and topology challenge we organized at ICLR 2021!

In the challenge, participants were asked to create the best data analysis, computational method, or numerical experiment relying on state-of-the-art geometric and topological Python packages, such as Geomstats - a package co-developed by our lab.

Continue ReadingResults of the ICLR 2021 Geometry and Topology Challenge