This is an exciting paper, highly recommend it!

Steffi wrote a fantastic master's thesis with us and I'm very happy she decided to stay on for her PhD. She's already made some intriguing discoveries (stay tuned!) and I can't wait to see what's next. Welcome, Steffi!

Really great to have Gesa join the team! She's already shown a ton of enthusiasm, and I'm impressed by her keen analytical insights. Excited to see what she'll develop in her time here! Welcome, Gesa!

An open-rank faculty search in AI + Engineering (Bioengineering included) at UC Berkeley. Due date: Monday, Nov 3, 2025 at 11:59pm (PT) Please help spread the news. aprecruit.berkeley.edu/JPF05144

Excited to be at #ASHG2025 in Boston next week. On Thursday, I will be presenting a poster (1007T) on our latest work on Personalised sequence to expression modelling. Looking forward to meeting new folks and reconnecting with old friends and colleagues.

Don’t miss Manu’s poster on DeepGenoXcan, our new personalized and interpretable sequence-to-expression model, at #ASHG2025! 📅 October 16, 2:30pm-4:30pm 📍 Poster 1007T

Do you want to link genomic variants to functional gene expression - cell by cell? SDR-seq makes it possible; an experimental method connecting coding and non-coding variants to expression in single cells. Proud to have contributed a custom FASTQ-processing tool to this great collaborative project.

Grateful to have been included in this interesting and sure to be very impactful work!

📢 Recruitment for the EMBL International PhD Programme is officially open! At EMBL, we train young scientists to become skilled and creative future leaders in academia and other sectors. Join us and get a head start on your career in life sciences! bit.ly/47mmiFF

Deadline in 9 days - apply now!

Job alert: Join us for a postdoc in AI in genetics at @EMBL Heidelberg! Great collaboration with @Adrian Cortes @GSK, aiming to develop new tools to elucidate genetic effects using population-scale cohorts and single-cell readouts. Please share! embl.wd103.myworkdayjobs.com/de-DE/EMBL/d...

We're hiring! Want use deep learning to discover genetic disease mechanisms and therapeutic targets? Like the sound of applying Bayesian deep learning, DNA language models and federated learning to this exciting problem? Then this position in our group is for you!

An insightful thread for the second study by the one and only @manusaraswat.bsky.social that spearheaded this superstar team effort together with @lauraruedag.bsky.social and Elisa Heinzelmann in the labs of @oliverstegle.bsky.social and me: bsky.app/profile/manu...

How does tumour heterogeneity arise? How can we predict cancer cell plasticity? In 2 new studies, we trace #glioblastoma heterogeneity to a spatial cancer cell trajectory w. multimodal cell atlassing bit.ly/4mkrWgs & predict plasticity w. snRNA/ATAC+deep learning bit.ly/3FbI6Ic 🧵

🧠 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🧵👇

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.

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...

Cell2fate learns which genes have co-regulated transcription rates => spatially mapping velocity modules & improved robustness. Bayesian modelling => easier to add biological realism. Exciting collab with Alexander Aivasidis in Bayraktar & @steglelab.bsky.social www.nature.com/articles/s41...

Exciting job opportunity!👇 A great chance to work on an application of machine learning in human genetics which will make an impact on our understanding of disease and has real potential for future translation to the clinic.