iiinova — where your digital self keeps evolving

Danai Vagiaki @danaivagiaki.bsky.social · 08/02/2026

Delighted to present Latent Interaction Variational Inference (LIVI), a framework for trans-eQTL mapping at single-cell resolution that I developed during my PhD together with colleagues from @steglelab.bsky.social 1/n

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Robert Warmerdam @robertwarmerdam.bsky.social · 06/02/2026

🧬 New preprint alert! After years of collaborative work across 52 datasets we are presenting eQTLGen phase 2: a genome-wide eQTL meta-analysis covering 43,301 blood samples: www.medrxiv.org/content/10.6... (1/8)

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Stegle Lab @steglelab.bsky.social · 07/01/2026

Fresh off the press in 2026! Interested in the challenge of how to advance from descriptive atlases to causal mechanisms and counterfactuals? 🔬 Take a look at our recent perspective: "Interpretation, extrapolation and perturbation of single cells"! (rdcu.be/eXeDY)

rdcu.be

Interpretation, extrapolation and perturbation of single cells

Nature Reviews Genetics - Causal and mechanistic modelling strategies, which aim to infer cause–effect relationships, provide insights into cellular responses to perturbations. The authors...

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Stegle Lab @steglelab.bsky.social · 25/11/2025

Back from #scverse25 and feeling inspired by what @scverse.bsky.social has achieved over the last years. Impressive tools, a vibrant community and we even had a reunion with our two alumni Danila and Max Frank. We also presented our latest findings from the lab 👇

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Manu Saraswat @manusaraswat.bsky.social · 16/05/2025

🧠 Excited to share my main PhD project! We mapped the regulatory rules governing Glioblastoma plasticity using single-cell multi-omics and deep learning. This work is part of a two-paper series with @bayraktarlab.bsky.social @oliverstegle.bsky.social and @moritzmall.bsky.social, Preprint at end🧵👇

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Stegle Lab @steglelab.bsky.social · 18/03/2025

1/ New preprint! 🍳 @elihei.bsky.social and our team at @embl.org , @dkfz.bsky.social, and @mskcancercenter.bsky.social built #segger - a fast, accurate cell segmentation tool for spatial transcriptomics that assigns transcripts to their cell origins! doi.org/10.1101/2025...

Message passing intuition behind the segger’s link-prediction model and the network architecture

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Brian Clarke @brianfclarke.bsky.social · 18/03/2025

The next selection round for the DKFZ International PhD Program has started. Please consider applying to this really excellent program! I'll be proposing projects, as will many other outstanding PIs.

PHD POSITIONS IN
COMPUTATIONAL RESEARCH, DATA SCIENCE
AND ARTIFICIAL INTELLIGENCE

Are you interested in solving fascinating biological or medical questions computationally?
At the German Cancer Research Center (DKFZ), Germany’s largest biomedical research institute with
its core site in Heidelberg, computational scientists work at the forefront of artificial intelligence
and cancer research. They combine inter disciplinary approaches from computer science, medical
informatics, physics, biology, bioinformatics and statistics to analyze and understand complex
biological and medical data.

Main activities at the DKFZ involving big data:
•
Development and application of machine
learning and computa tional methods for
multi-modal data integration, including
integrative analysis of genomic, epigenomic,
transcriptomic, proteomic, meta bolomic and
radiomic imaging data
•
Development of methods for modeling and
simulation of biological and medical processes
•
Medical Informatics

•
•
•
•
DNA mutation analysis and machine learning to
decipher cancer genome variation
Application and development of state-of-the-art
technologies for single-cell omics and life cell
imaging
Computer-assisted radiology and surgery
Biostatistical evaluation of experimental and
clinical data
More information at www.dkfz.de/datascience. Full funding is provided for the duration of the PhD.

To apply online to the International PhD Program visit
To apply online to the International PhD Program visit
www.dkfz.de/phd
Application deadline
24 April 2025

We support and value diversity and encourage applications from individuals
from underrepresented groups. If you require assistance during the application
process, please contact phd@dkfz.de.

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