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Maria Brbic

@mariabrbic.bsky.social
1.2K followers 70 following 4 posts

Prof of Computer Science and Life Sciences @ EPFL Previously @ Stanford ML🤖+Bio🧬 brbiclab.epfl.ch

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Maria Brbic @mariabrbic.bsky.social · 25/08/2025
Our Systema framework for evaluating genetic perturbation response prediction methods is now out in @natbiotech.nature.com ✨ Systema helps to evaluate perturbation response prediction methods by focusing on perturbation-specific effects rather than systematic variation 🎯
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Maciek Wiatrak @macwiatrak.bsky.social · 21/07/2025
💥 Excited to introduce Bacformer 🦠 - the first foundation model for bacterial genomics. Bacformer represents genomes as sequences of ordered proteins, learning the “grammar” of how genes are arranged, interact and evolve. Preprint 📝: biorxiv.org/content/10.1... 🧵 1/n
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Pablo Meyer @oldbap.bsky.social · 20/07/2025
ISMB/ECCB 2025: Join us for the DREAM Challenges session on Monday, 21 July, 14:00 Explore community-driven benchmarking for Foundation Models—run a live experiment for LLMs. @bowang87.bsky.social @anshulkundaje.bsky.social @cziscience.bsky.social @mariabrbic.bsky.social @juliosaezrod.bsky.social
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Maria Brbic @mariabrbic.bsky.social · 24/02/2025
Thrilled to share LUNA🌕 – our new generative AI model that reassembles tissue structures from dissociated cells! LUNA learns spatial priors over existing spatially resolved datasets with the aim to predict cell locations de novo. Check out our paper here: www.biorxiv.org/content/10.1...
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Su-In Lee @suinlee.bsky.social · 19/01/2025
Honored to work with the exceptional @weiqiu.bsky.social @uwcse.bsky.social and brilliant co-senior author Kamila Naxerova @harvardmed.bsky.social! I still can’t believe I have the privilege of collaborating with them www.nature.com/articles/s41... @weiqiu.bsky.social is on the academic job market!
nature.com
Latent spaces for tumour transcriptomes - Nature Biomedical Engineering
Generating low-dimensional latent spaces for gene-expression data via unsupervised deep learning can unveil biological insight across cancers.
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Reposted by Maria Brbic
Anshul Kundaje @anshulkundaje.bsky.social · 07/01/2025
Very excited to announce that the single cell/nuc. RNA/ATAC/multi-ome resource from ENCODE4 is now officially public. This includes raw data, processed data, annotations and pseudobulk products. Covers many human & mouse tissues. 1/ www.encodeproject.org/single-cell/...
encodeproject.org
Single cell – ENCODEHomo sapiens clickable body map
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Reposted by Maria Brbic
Saez-Rodriguez Group @saezlab.bsky.social · 23/12/2024
We present Gene Regulatory nETwork Analsyis (GRETA), a framework to infer, compare and evaluate gene regulatory networks #GRNs. With it, we have benchmarked multimodal and unimodal GRN inference methods. Check the results here 👇 Paper: doi.org/10.1101/2024.12.20.629764 Code: github.com/saezlab/greta
GRETA graphical abstract
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Reposted by Maria Brbic
EPFL AI Center @epfl-ai-center.bsky.social · 02/12/2024
🎉 Four of our faculty members have been awarded the prestigious Swiss National Science Foundation SNSF "Starting Grant" for their groundbreaking research projects 🌟 Congratulations to @mariabrbic.bsky.social, Josie Hughues @trackingactions.bsky.social and Philippe Schwaller! 🥳
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Maria Brbic @mariabrbic.bsky.social · 25/11/2024
🚀 We're #Hiring #PhD students at #MLBio Lab at @EPFL through the #EDIC Program! 📅 Deadline: Dec 15 💥 We're part of School of Computer Science and School of Life Sciences at EPFL which gives access to excellent collaborators, network, and resources! 👉 Learn more at brbiclab.epfl.ch!
brbiclab.epfl.ch
Main - MLBio LAB
Maria Brbic
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