I’m very Happy for the opportunity to present #micronuclAI at the #I2K conference Human Technopole. Insightful questions and discussions today!

Starting today as a Staff Scientist at EMBL-EBI! I will continue my work Saez-Rodriguez Group on multicellular processes with multi-scale omics. Excited to join the Genome Campus community and see where the science takes us! ☺️ Happy to catch up with friends and colleagues in Cambridge.

After nearly two years of hard work, the paper I coauthored with my lifelong partner, and now fiancé, is out in Nature Neuroscience 🎉 No podria estar més feliç d’haver-ho fet junts Celia Lerma Martin 😊

📢 It’s out!! 🎉 Huge thanks to everyone involved, and especially to my partner-in-crime Pau Badia i Mompel 🥸🧡 Swipe for ‘Before and After’ pics. 10 years together, and maybe just a little bit wiser 😉 Després de no fer projectes junts a la carrera, aquest ens ha sortit prou bé😋

I made a genomic scientists trained in Mexico 🇲🇽 starter pack. I'd like for our voices to be heard! If you can help spread the word, that'd be great! Thank you! ComunidadBioInfo NNB-UNAM Red Mexicana de Bioinformática LCG UNAM LCG UNAM CCG UNAM Instituto de Biotecnología UNAM LIIGH

Happy to share our latest Open Problems paper on our perturbation prediction competition and living benchmark, accepted for publication at NeurIPS 2024. A fun project with many collabs led by Artur Szałata and Andrew Benz! Community-driven standards & data for perturbation models

If you are a beginner researcher, this paper will help you.

We will be at the inaugural #ESSB conference this week in Berlin, presenting with Maria Puschhof a talk on multi-modal whole brain tumor profiling, Philipp Schäfer with Jovan Tanevski a poster on analyzing cross-condition/temporal spatial data [1/2]

Chang Lu with Jovan Tanevski a poster on integrating spatial GEX and VDJ to elucidate intra- and intercellular signalling and as session chair the founding member Julio Saez-Rodriguez. [2/2]

Interested into easy quantification of chromosomal instability for your IF data? Come check Poster 83 at #ESSB2024 Denis

I am proud to share our latest paper📜 “The multi-scale complexity of human genetic variation beyond continental groups”, just pre-printed on bioRxiv! Link Here ➡️biorxiv.org/cgi/content/sh…

Recently, we held the first #scverse SpatialData 3-day hackathon in Basel (Switzerland), where we brought together 20 developers from the Python, R, and web communities to work on interoperability, performance, and ergonomics for spatial omics data. Here is what we worked on!

Quentin BLAMPEY Lotte Pollaris Clarence Mah @clarencemah.bsky.social Laurens Lehner Chiara Schiller Miguel A, Ibarra Arellano We worked on easing the learning curve of the SpatialData framework by improving the documentation and APIs. We prepared new beginner-friendly notebooks and introduced a new more...

"Linear Algebra in Data Science" A compact book (about 200 pages) covering lots of linear algebra relevant to Data Science link.springer.com/book/10.1007/9… Contents: 1. Introduction 2. Projections 3. Matrix Algebra 4. Rotations & Quaternions 5. Haar Wavelets 6. Singular Value

Congratulations to Lindsay Caprio somnath tagore, many people in my group, and outstanding collaborators Denis Kresimir Bestak Fei Chen Lab Caris Life Sciences and many others on this paper, profiling non-small cell lung cancer brain metastases nature.com/articles/s4159…

Spotted at #GfH 2025! 🔎 Our team is at booth 29 (LIFE & BRAIN), ready to talk about all things GestaltMatcher. If you're at the conference, come say hi! 👋

🚨 New preprint: "Topography Aware Optimal Transport for Alignment of Spatial Omics Data" We present our new alignment framework TOAST biorxiv.org/content/10.110…

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The latest version of Kasumi is now published in Nature Comms nature.com/articles/s4146… Kasumi identifies patterns in tissue patches enabling analysis of disease progression and treatment response while providing insights into spatial coordination at cell-type or marker level

Most biological processes, like stem cell differentiation, branch into multiple fates, but current trajectory inference methods only predict single paths.🌳To fix this, we introduce BranchSBM 🌿, from our unstoppable Sophia Tang ! 🌟 📜: arxiv.org/abs/2506.09007 💻: