We study cancer and immunology, combining experimental biology with high-throughput technology, bioinformatic methods and machine learning. Our work is interdisciplinary and collaborative. We are equally committed to biological discovery and to advancing medicine.
Want to analyze your single-cell data, but don't like to deal with code? 🧬
Good news: CellWhisperer now runs on your MacBook! 💻
Get your single-cell AI assistant running in under 5 minutes.⏱️
Made with ❤️ @BockLab
Additional information about our research: https://t.co/3GgwGpyp1U | https://t.co/JH4GAYGQbp | https://t.co/mUmsHdCncI
Full job posting: https://t.co/09hgFB0BYF
Further details & application portal: https://t.co/oKwZIgFPRq & https://t.co/3J7TbTmb4t
HIRING: We recruit postdocs via the CeMM Pre-ERC Postdoc Program (https://t.co/oKwZIgFPRq). Seeking 3 types of candidates: (1) experimental systems biology in immunity or cancer; (2) bioinformatics & biomedical ML/AI; (3) tech-dev & bioengineering (CRISPR, single-cell, spatial).
Maybe get some inspiration from our recent papers and consider proposing a project idea or research direction (as part of your application's cover letter) that connects your and our research expertise. Be ambitious & creative!
Further details & application portal: https://t.co/oqAkGSfua7
Additional information about our research group: https://t.co/3GgwGpyp1U | https://t.co/JH4GAYGQbp
HIRING: We recruit PhD students via the AITHYRA-CeMM PhD Program. Seeking 3 types of candidates: (1) experimental systems biology in immunity or cancer; (2) bioinformatics & biomedical ML/AI; (3) tech-dev & bioengineering (CRISPR, single-cell, spatial, cell programming etc) (1/5)
What excites you? What could be a great PhD project? Please have a look at our recent publications and consider proposing an idea or research direction (as part of your application's cover letter) that you might want to pursue in our PhD. (4/5)
Amazing new tool published @NatureBiotech on interactive analysis of single cell data. The study introduces CellWhisperer, an AI model that links transcriptomes with text descriptions to support natural language queries and zero shot cell type predictions, and integrates it with CELLxGENE for exploration. Really cool, no coding skills needed at all!
CellWhisperer
From Transcriptome to Text
A great LLM-Chatbot explorer for CELLxGENE & GEO & your own data!
Contrastive language image pretraining
Geneformer
BioBERT
>1 million bulk/pseudo-bulk transcriptomes
https://t.co/LdSf1weub0
@muronglizi@PenederPeter@BockLab@NatureBiotech 2025
https://t.co/XcP5J488FG
🗨️ Just published in @NatureBiotech: Our CellWhisperer AI enables chat-based analysis of single-cell sequencing data. You can talk to your cells & figure out the biology without writing any computer code. Paper link and annotated walkthrough in the thread below (1/11)
🧬CellWhisperer introduces a chat-based way to explore scRNA-seq data. By enabling natural language analysis, it bridges biologists and bioinformaticians—paving the way for AI-driven bioinformatics assistants. (10/11)