🔹 AI-generated media, ‘deepfakes’ must be clearly labelled as such 🔸Chatbots and virtual agents must explicitly state they aren't human 🔹You must be told when AI is actively analysing you, like biometrics, emotion tracking → link.europa.eu/gTvhRX
Hannah Dickmänken
@hannahdckmnkn.bsky.social
My favorite ice cream flavors are science & feminism. PhD candidate at VIB.AI in Stein Aerts lab 🪰 - she/her
Big thanks to @ece2026tours.bsky.social for letting me present my PhD work this week. It was truly the best conference organization ever! Plus I learned so much about the coolest insects, biodiversity, agriculture and science communication & made new friends as well ♥️🪲
Looking forward to 5 days of insect science #ECE2026Tours ! Join my talk tomorrow in the insects & society AI session at 18h15 on what genomics and Deep Learning can teach us about fly development 🧬
A new Science study shows that bumble bees can position a ball underneath a fake “flower” to reach a reward, suggesting they can exhibit spontaneous problem-solving and challenging the notion that such advanced cognitive abilities are exclusive to large-brained vertebrates. https://scim.ag/4vs08dC
I will be presenting this work at #eshg2026 on Monday during "From Population to Pertubation" session (C31, room F1-F3 @ 10:30)!
Alexandra P@alexanrna.bsky.social · 4mo ago1/ 🧬 Happy to share our new preprint on modeling cis-regulatory variation in human brain enhancers across a large Parkinson’s disease cohort: www.biorxiv.org/content/10.6... Details in the thread below:
Happy to see my paper re-posted by the VSC! Without their high-performance computing resources, this research would not have been possible.
VSC | Vlaams Supercomputer Centrum@vschpc.bsky.social · 4mo agoHow do you scale AI in genomics without rising costs? Researchers from the VIB Center for AI & Computational Biology and KU Leuven show that larger single-cell datasets can boost deep learning models—even with lower per-cell coverage. Powered by VSC supercomputing 🔗 www.vscentrum.be/post/evaluat...
The @steinaerts.bsky.social lab is looking for a postdoctoral researcher to develop next-generation sequence-to-function models for glioblastoma, one of the most aggressive brain cancers. More info & how to apply 👉 https://vib.ai/en/opportunities#/job-description/130090
We are thrilled to share our new pre-print: “System-wide extraction of cis-regulatory rules from sequence-to-function models in human neural development”. S2F-deeplearning models can accurately encode enhancers, yet decoding these models into human-interpretable rules remains a major challenge.
Paper alert! 💻 How many cells do you need to train reliable deep learning models in regulatory genomics? We asked how data quality, sequencing depth, and dataset size affect training of sequence-to-function models from scATAC-seq. Out now www.nature.com/articles/s41... (details below)
Evaluating single-cell ATAC-seq atlasing technologies using sequence-to-function modeling - Nature Communications
Generating high-quality training data for machine learning is costly. Here, authors include sequence-to-function modeling in benchmarking of custom and commercial droplet-based scATAC platforms, and r...
nature.com
🚀 Proudly introducing the VIB-KU Leuven Center For Neuroscience, a merger of the two former VIB research centers VIB-KU Leuven Center for Brain & Disease Research and Neuro-Electronics Research Flanders (NERF)! Our new motto: Bold Science, Real Impact. www.youtube.com/watch?v=uhaq...
VIB-KU Leuven Center for Neuroscience
YouTube video by VIB-KU Leuven Center for Neuroscience
youtube.com
Happy to share the Biodiversity Cell Atlas white paper, out today in @nature.com. We look at the possibilities, challenges, and potential impacts of molecularly mapping cells across the tree of life. www.nature.com/articles/s41...
The FlyBase situation has made the national news www.nbcnews.com/science/scie...
Trump's Harvard cuts threaten a giant in biomedical research: A database about the tiny fruit fly
This spring, the Trump administration rescinded a grant that maintained FlyBase, a pillar of global basic research, as part of its broader $2.2 billion funding cuts at Harvard.
nbcnews.com
1/ First preprint from @jdemeul.bsky.social lab 🥳! We present our new multi-modal single-cell long-read method SPLONGGET (Single-cell Profiling of LONG-read Genome, Epigenome, and Transcriptome)! www.biorxiv.org/content/10.1...
Very proud of two new preprints from the lab: 1) CREsted: to train sequence-to-function deep learning models on scATAC-seq atlases, and use them to decipher enhancer logic and design synthetic enhancers. This has been a wonderful lab-wide collaborative effort. www.biorxiv.org/content/10.1...
CREsted: modeling genomic and synthetic cell type-specific enhancers across tissues and species
Sequence-based deep learning models have become the state of the art for the analysis of the genomic regulatory code. Particularly for transcriptional enhancers, deep learning models excel at decipher...
biorxiv.org
Make sure to also check out the preprint on the new CREsted package: many more sequence-to-function models across different species! … and it works with HyDrop v2 data as well. Congrats to @niklaskemp.bsky.social & @seppedewinter.bsky.social & all the others working on this super cool project!
Niklas Kempynck@niklaskemp.bsky.social · last yr.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...
Our new preprint is out! We optimized our open-source platform, HyDrop (v2), for scATAC sequencing and generated new atlases for the mouse cortex and Drosophila embryo with 607k cells. Now, we can train sequence-to-function models on data generated with HyDrop v2! www.biorxiv.org/content/10.1...
