News

We Are 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.

We Are 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.

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!

Our software Geomstats is in the news! Open-Source Bridges the Gap between Mathematical Research and Industry

Ovio starts a new series of blog posts showcasing the extraordinary #maintainers and #communities that are making #opensource.

We Participate in the MIT Summer Geometry Institute: "The Shape of Success"

The MIT Summer Geometry Institute (SGI) is a paid summer research program introducing undergraduate and graduate students to the field of geometry processing. Congrats to Geometric Intelligence Lab's interns Faria Huq, Sahra Yusuf and Berna Kabadayi, whose project made it to the first page of the MIT EECS webpage: "The Shape of Success"!