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
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
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
New Data Driven Biology Program at UCSB
The new Data Driven Biology (DDB) NRT graduate training program aims to train a new generation of biological scientists and engineers who are able to work across disciplines and are fluent in data analytics and experimental methods to advance fundamental research in quantitative biology and bioengineering.Continue ReadingNew Data Driven Biology Program at UCSB
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
MIT Summer Geometry Institute: Wrap up
The Summer Geometry Institute (SGI) is a six-week paid summer research program introducing undergraduate and graduate students to the field of geometry processing. Our research team investigated probabilistic synchronization of shapes defined by mesh, using Riemannian geometry. Congrats to the students who mastered concepts from differential geometry, shape analysis and probabilities in only a couple of weeks!Continue ReadingMIT Summer Geometry Institute: Wrap up
SCAI Geomstats Hackathon
It was a great opportunity for attendees to learn how to use existing implementations of differential geometry for their research, and implement new structures!Continue ReadingSCAI Geomstats Hackathon