Maria Brbic
mariabrbic.bsky.social
Maria Brbic
@mariabrbic.bsky.social
Prof of Computer Science and Life Sciences @ EPFL Previously @ Stanford
ML🤖+Bio🧬 https://brbiclab.epfl.ch/
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 🎯
August 25, 2025 at 6:36 PM
Reposted by Maria Brbic
💥 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
July 21, 2025 at 9:56 AM
Reposted by Maria Brbic
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
July 20, 2025 at 4:15 PM
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...
February 24, 2025 at 3:29 PM
Reposted by Maria Brbic
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!
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.
www.nature.com
January 19, 2025 at 3:01 AM
Reposted by Maria Brbic
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/...
Single cell – ENCODEHomo sapiens clickable body map
www.encodeproject.org
January 7, 2025 at 9:29 PM
Reposted by Maria Brbic
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
December 23, 2024 at 8:43 AM
Reposted by Maria Brbic
🎉 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! 🥳
December 2, 2024 at 10:58 AM
🚀 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!
Main - MLBio LAB
Maria Brbic
brbiclab.epfl.ch
November 25, 2024 at 5:19 PM