Modeling spatial point patterns from noisy, incomplete experimental data just got easier! Great work by @domsturm.bsky.social for sparse, noise-robust model inference of point processes 🤩 @tudresden.bsky.social @csbdresden.bsky.social @mpi-cbg.de Preprint out now: arxiv.org/abs/2510.25550

🤩👍🏼💪🏼 Meet #TopoSPAM - a high-performance simulation platform for biological morphogenesis with a friendly Python interface. @tudresden.bsky.social @csbdresden.bsky.social @mpi-cbg.de. Solve both continuous and discrete active mechanics! Released today: arxiv.org/abs/2509.24905

🤩🤩🤩Absolutely thrilled our work is featured in the Magazine of @maxplanck.de ! Big thanks to the writer and editor 🙏🙏🙏 Never saw our work described so well! Curious? @csbdresden.bsky.social @tudresden.bsky.social @mpi-cbg.de - PDF is freely available, article starts p.36: www.mpg.de/25430399/MPR...

In a beautiful team effort, we wrote a comprehensive review of meshfree collocation methods for numerically solving PDEs @csbdresden.bsky.social @uni.lu #CVUTPrague @tudresden.bsky.social Preprint out now: arxiv.org/abs/2509.20056

It was a pleasure to speak at #BuildingBridges2025. Germany, Poland, Hungary, and Lithuania - together in one session on #Biomedical #AI. Great also to meet so many friends again! Big thanks to the organizers for inviting me! 🙏🙏🙏🙏 @hzdr.bsky.social @tudresden.bsky.social

🙏 Very honored to speak at #BuildingBridges2025 on #AI for #Biomedicine. What an amazing lineup of panelists 🤩🤩🤩 Politics and Science working together- Germany, Lithuania, Czech Republic, Poland - together for future #AI 👍🏼 @hzdr.bsky.social @csbdresden.bsky.social

Looking forward to present on the topic of AI for Biomedicine tomorrow!

#GoGAIN25: 🌎 From August 29 to 31, #TUDresden will be in #Boston with @daadworldwide.bsky.social, @humboldt-foundation.de & @dfg.de, presenting a series of talks & hosting a booth to showcase our University of Excellence & the city of Dresden as a hub for science. 🧑‍🔬 ℹ️ tu-dresden.de/internationa...

This👇is fantastic work! Congratulations @loicaroyer.bsky.social and team!!

#GenAI meets perception psychology for better super-resolution microscopy 🤩 Fig.1 says it all! 😎 Fantastic collaboration with @casusscience.bsky.social - work of @zuseschoolsecai.bsky.social students @csbdresden.bsky.social - out now onlinelibrary.wiley.com/doi/10.1002/...

🚨Fundamental computer science result! 🤩🤩🤩 Particle Methods, a class of algorithms, can compute anything that is computable, even when severely resource restricted ‼️‼️Formally proven result @csbdresden.bsky.social @tudresden.bsky.social @mpi-cbg.de now out: fi.episciences.org/16055

To learn more about the people behind this work, we caught up with first author Justina Stark, and corresponding authors Ivo Sbalzarini (@mosaicgroup.bsky.social @csbdresden.bsky.social) and Michael Brand (@tudresden.bsky.social): journals.biologists.com/dev/article/...

Read the #OpenAccess Research Article "Morphogen gradients are regulated by porous media characteristics of the developing tissue" here: journals.biologists.com/dev/article/...

Thanks for the highlight @dev-journal.bsky.social !! 🙏🙏🙏

Tagging @mpi-cbg.de @poldresden.bsky.social

⚡️Advanced Computing ❤️ laboratory experiments ➡️ an unbeatable combination to unlock the secrets of biology! Together with the Brand lab @tudresden.bsky.social we @csbdresden.bsky.social discovered a simple mechanism how tissue geometry controls growth: journals.biologists.com/dev/article/...

Our scientific computing framework #OpenFPM now has multistage and adaptive time integrators that scale to distributed CPU clusters and GPUs! Happy supercomputing! @tudresden.bsky.social @csbdresden.bsky.social @mpi-cbg.de preprint: arxiv.org/abs/2309.05331

🔥🔥🔥Unique opportunity! We are looking for a new Max Planck Director in Biomedical #AI. Max Planck Research Directors enjoy unparalleled freedom and resources. And the best: you’d get to work with us here at the @csbdresden.bsky.social in the heart of the vibrant @tudresden.bsky.social AI campus!

Formulas of Life: article of the @maxplanck.de on the research of Ivo Sbalzarini @mosaicgroup.bsky.social. Article in German language: www.mpg.de/24841408/ki-...

Ivo Sbalzarini was interviewed by German science radio @detektorfm.bsky.social and explains our research @csbdresden.bsky.social @mpi-cbg.de @tudresden.bsky.social to a general audience (in German only): detektor.fm/wissen/forsc...

🔥Just out @EGPGV’25: Parallel visualization of distributed volume data for non-convex decompositions! @csbdresden.bsky.social @tudresden.bsky.social @mpi-cbg.de And the best: code is contributed upstream 🤩 diglib.eg.org/items/3aed38...

Fantastic! 🤩 Best success ever for our university!! This is going to enable sooooo much cool new research in the coming years. The sky is the limit!

Proud and happy our group could be involved in this. Congratulations, Roua!

APR-CNN: Convolutional Neural Networks for the Adaptive Particle Representation of Large Microsco... Joel Jonsson, Bevan Leslie Cheeseman, Ivo Sbalzarini Action editor: Moshe Eliasof https://openreview.net/forum?id=5qKI2dkrjL #cnn #cnns #microscopy

It was great hosting and meeting Sophie Jaffard @csbdresden.bsky.social @tudresden.bsky.social. We look forward to many more discussions on the mathematics of neural networks in neuroscience and in machine learning!

Hello! The CSBD is now sharing news on @bsky.app 🦋

Enabling deep learning on large images with massively reduced compute and resource needs. Meet the content-adaptive APR-CNN architecture! Out now in @tmlrorg.bsky.social - openreview.net/forum?id=5qK...

Congratulations, Tommaso! It was a great PhD defense!!!

Apply by tomorrow and come work with us!

Impressive!!!

Point clouds 🤩 an amazing data structure with exciting open problems!

The numerical nonlinear algebra workshop, organized by @math-mpicbg.bsky.social, took place at the @mpicbg.bsky.social from February 3-6, 2025. It featured biology, chemistry, and physics with a focus on nonlinear modeling problems and techniques. News article: www.csbdresden.de/news-events/...

Capella is here!!! @tudresden.bsky.social We are privileged to work at a university with own in-house Supercomputing and AI hardware of such caliber. This is the foundation for our research in next-gen computing and data science for the Life Sciences! www.youtube.com/watch?v=a4SY...

This is really cool!!!!

Introducing the topic of our research group in few sentences before the workshop starts… embarrassing, but also fun 😜

It was an absolute pleasure to speak at this workshop on “numerical nonlinear algebra in the real world” and explain the math behind particle methods - numerical computation on point clouds and their use in biology! @mpicbg.bsky.social @tudresden.bsky.social

Great book by the outstanding Benjamin Midtvedt and our friend and collaborator Giovanni Volpe and his lab! 👏🤩👇👇👇

On Feb 3-6 2025, we are hosting Numerical (Nonlinear) Algebra in the Real World @mpicbg.bsky.social - a 3 day event to discuss nonlinear modeling problems and techniques, so we can better model those many nonlinear scientific phenomena: plan.events.mpg.de/event/355/ov...

🚨 #JobAlert 🚨 Join us as Junior Professor in #NLP. scads.ai is a super amazing work place, you will not regret working with us! 🗣️💻🤖 www.uni-leipzig.de/stellenaussc...

Come work with us in computer science or mathematics for the life sciences. There are great postdoc fellowships!

Opportunity alert! Fantastic lab and PI to work with. Apply if this is your kind of topic!

Learning interpretable mathematical models from data is transforming science. But what if different models apply in different areas or at differnt times? After all, living systems are plastic and self-organized. Now you can learn *local* model clusters! doi.org/10.1098/rspa...

🧵 We @mosaicgroup.bsky.social just published in @aip-publishing.bsky.social JChemPhys (doi.org/10.1063/5.02...): Turns out that grid resolution in stochastic reaction-diffusion models represents molecule size! This completely changes how we understand "reaction loss" in these models:

GRDME (Gaussian Reaction Diffusion Master Equation) is a method that makes exact stochastic simulations of molecular interactions more efficient! It was also the subject of my first PhD paper (doi.org/10.1063/5.01...) with @mosaicgroup.bsky.social from my time at @mpicbg.bsky.social 🧵