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.

My team has a postdoc position available now, join us! careers.gene.com/us/en/job/20...

Excited to be at @aithyra.bsky.social #AIinLifeScience symposium in Vienna. What a gorgeous venue! Will be presenting posters on my latest work on personalized gene expression prediction and gene regulatory network inference

Dived into past, present & future of human genetics with brilliant students & mentors.Grateful for the chance to present my work on personalized sequence→expression prediction and discussions with @sashagusevposts.bsky.social @bpasaniuc.bsky.social @mashaals.bsky.social @tuuliel.bsky.social & others

Our work on "Evaluating the representational power of pre-trained DNA language models for regulatory genomics" led by @AmberZqt with help from @NiraliSomia & @stevenyuyy is finally published in Genome Biology! Check it out! genomebiology.biomedcentral.com/articles/10....

Excited to share my first contribution here at Illumina! We developed PromoterAI, a deep neural network that accurately identifies non-coding promoter variants that disrupt gene expression.🧵 (1/)

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🧵👇

Out in Cell @cp-cell.bsky.social: Design principles of cell-state-specific enhancers in hematopoiesis 🧬🩸 screen of fully synthetic enhancers in blood progenitors 🤖 AI that creates new cell state specific enhancers 🔍 negative synergies between TFs lead to specificity! www.cell.com/cell/fulltex... 🧵

We released our preprint on the CREsted package. CREsted allows for complete modeling of cell type-specific enhancer codes from scATAC-seq data. We demonstrate CREsted’s robust functionality in various species and tissues, and in vivo validate our findings: www.biorxiv.org/content/10.1...

On January 6th, 1995, my (now ex) wife and I boarded a flight from Heathrow to JFK on a one way ticket. We had two suitcases and about $900 in cash - this was everything we owned and we were moving to the US. We thought it was maybe for 2-3 years. I had visited the US once, for a conference, and

#CellPlasticity—the ability of cells to change their identity—is vital for tissue growth and repair. But when it goes unchecked, it can fuel #cancer. Our latest study examines how to block #LiverCancer by actively suppressing plasticity. www.nature.com/articles/s41... #CancerBiology

Given that science funding is under attack, it might be as good a time as any to reflect on how we spend our precious dollars. Cutting out expenditure publishing papers in overpriced journals might be a good thing to seriously consider once again.

Exciting work from @jkpritch.bsky.social lab combining perturbation screens with genetic associations 🚀

Huge shoutout to @avantikalal.bsky.social (Grelu) and @jmschreiber91.bsky.social (tangermeme) for making sequence model training, evaluation, interpretation and de-novo design so seamless. Finally getting rid of my own clunky scripts i have been using for years for each of these tasks separately

Out today in @naturegenet.bsky.social -- PERFF-seq! With @tsionabay.bsky.social , @ronanchaligne.bsky.social, Bob Stickels, Meril Takizawa, + Ansu Satpathy, we describe this new assay to study rare populations with programmable nucleic acid cytometry. 1/n www.nature.com/articles/s41...

Congratulations team @anshulkundaje.bsky.social Can't wait to dive into the details

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

What do GWAS and rare variant burden tests discover, and why? Do these studies find the most IMPORTANT genes? If not, how DO they rank genes? Here we present a surprising result: these studies actually test for SPECIFICITY! A 🧵on what this means... (🧪🧬) www.biorxiv.org/content/10.1...

We are live now @steglelab.bsky.social

"Postdocs receive an annual salary increase following successful completion of their annual review" The increase - • 0 years of experience = $66,300 • 1 year = $66,810 • 2 years = $67,320 🤡🤡🤡

My goal is to understand the regulatory role of every nucleotide in the genome, and how this changes across every cell in the human body. If you are interested in doing a Ph.D. with me at UMass Chan Medical (Genomics and Comp Bio Department), see the links below. Deadline is Dec 1st.

Evo: A genomic language model of prokaryote genomes generates functional cas9 proteins and transposons. @brianhiestand.bsky.social www.science.org/doi/10.1126/...

Hello #genomics #compbio world 🧬 Wasn't expecting this level of activity - great to see the community moving here