We turn biological shapes into biological 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

Geometric Statistics & Learning

For Shape Analysis

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.

Molecular & Cellular Shape Analysis

For 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.

Anatomical Shape Analysis

For 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

Mathilde Papillon receives the Best Paper Award at EAI ArtsIT!

Mathilde Papillon, Ph.D. student in the BioShape Lab, receives the prestigious Best Paper Award at the conference EAI ArtsIT for her work: "PirouNet: Creating Dance through Artist-Centric Deep Learning" with Mariel Pettee and Nina Miolane

 

 

Read MoreMathilde Papillon receives the Best Paper Award at EAI ArtsIT!


Watch Nina Miolane's Keynote at the CVPR Workshop on Deep Learning for Geometric Computing

BioShape Lab's PI presented the work of our group at the workshop "Deep Learning for Geometric Computing". Watch the video here!

Read MoreWatch Nina Miolane's Keynote at the CVPR Workshop on Deep Learning for Geometric Computing


BioShape Lab's PI Nina Miolane Receives Regents' Junior Faculty Fellowship Award

This award, presented by the UCSB Academic Personnel Office, supports outstanding junior faculty in their development of the substantial record in research and creative work necessary for advancement to tenure. 

Read MoreBioShape Lab's PI Nina Miolane Receives Regents' Junior Faculty Fellowship Award