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 this work on mapping trans-eQTLs at single-cell resolution!
Delighted to have co-conceived this project with lead author @danaivagiaki.bsky.social
LIVI enables systematic discovery of genetic effects on gene regulatory networks in population-scale scRNA cohorts. Thread below 🧵👇🏼
Background The emergence of genomic language models (gLMs) offers an unsupervised approach to learning a wide diversity of cis-regulatory patterns in the non-coding genome without requiring labels of ...
My team has a postdoc position available now, join us!
careers.gene.com/us/en/job/20...
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 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.
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
