RNA Biology, Computing, Heavy music, Videogames, and other horrible things. MSc: @Unipisa PhD: @MDC_Berlin Postdoc: @UCSF First supporter of the @CalvielloLab

Joined June 2021
Happy too see this peer reviewed! A project stemming from work with @stephenfloor and @TheSilverLab, we focus on mRNAs who seem upregulated while translation is down or unchanged. If you're into RBPs, mRNA stability, the almighty GC content and much more, this one's for you!
Monitoring mRNA dynamics after DDX3X depletion indicates translation suppression followed by mRNA stabilization, with GC content in the CDS being a strong predictor of mRNA stabilization ➡️ embopress.org/doi/full/10.10… @translatomics @CalvielloLab @humantechnopole #RNAbiology
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Lorenzo Calviello retweeted
First article you find in a Resident Evil game
JUST IN - For the first time, AI has designed complete viral genomes, producing 16 functional viruses that infect bacteria and "pose no threat to people." — BBC
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A new paper published in Nature Astronomy says if LLM can easily replicate what counts as your scientific contribution, then the deeper problem is not the model, but the fact that the work was too routine, formulaic, or low-value to begin with. --- nature .com/articles/s41550-026-02837-2
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Exciting times - two more positions in my lab to work on poly(A) tail length regulation in mammalian (and not only!) cells. More details on the science and links to the positions (1 technician + 1 postdoc) below
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Looking for bioinformatician for exciting projects across the Centre of Genomics at the Human Technople. We also work with the FANTOM6 Consortium and other international consortia/projects. Details in the call. careers.humantechnopole.it/j…
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🔬 Inside the cell’s #RNA control system: can cells sense and fine-tune their own mRNA levels? 🧬 Our @Fabio_Marcuccio has been awarded a #MSCA Postdoctoral Fellowship to explore how RNA stability is regulated, with long-term implications for therapies. humantechnopole.it/en/news/i…
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Lorenzo Calviello retweeted
📣Following my PhD experience with @SENTINEL_ITN, I’m very happy to announce that I’ve been awarded a Marie Skłodowska-Curie Postdoctoral Fellowship for my project RNAhome🧬 Excited to continue my journey with @REA_research and @HorizonEU at @humantechnopole in beautiful Milan!🏔️
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Lorenzo Calviello retweeted
“Show me the mechanism of action.” “Uh. from the p-p-perturb seq? right here. Knocks down Gene X, and the cells shift into Cluster 7." “You used fkn UMAP again. FUCK. Zoom in.” “Sorry?” “Zoom. The fuck. In.” “…Okay.” “Do you see it?” “…See what?” “He doesn’t see it. The cell biology postdoc from Stanford does not know how to see a cell. He stares at a two-million-cell embedding and doesn’t see the conflations he just planted in my S3 bucket. WHERE is the temporal resolution?” “The… what?” “Where is the time? You hit the cell with a perturbation and you measured it once. Once. That’s not a mechanism. That’s a fucking POSTCARD!” “We sequenced at 72 hours. That’s standard.” “Standard is not the same as correct. You are aliasing causality. You compressed a dynamic process into a static endpoint and you’re think you will cure metastatic cancer.” “But the differential expression is significant.” “WOW! DIFFEWENTIAL EXPRESSION IS SIGNIFICANT! WOW! WHEN THE FUCK IS IT NOT. Yes, because statistics is Mario Kart. A fantasy land where causality is optional and variance disappears if you collect enough cells. Real biology has inertia. Feedback. Competing pathways. Do you understand the difference between correlation and mechanism? Or did you flunk out of STAT 101?” “…I mean, we saw Gene X regulate Pathway Y.” “No. You saw Pathway Y exist in the same cell after you kicked it down the stairs and waited three days. That’s not even a crime scene, you dimwit. That is a post-mortem autopsy.” “The model inferred a trajectory--” “STOP the buffoonery. Do not blame the model. The model is a mirror. In this particular case, you can see it mirrors the clusterfuck you just created in my biosafety cabinet. If the reflection is warped, it’s because your measurement is warped.” “Pull up the raw counts.” “…Okay.” “Scroll. Cell 14,982. Read it to me. What does it say?” “Uh… mitochondrial genes up, ribosomal genes down-” “And?” “…And stress response markers?” “Yes. Because you poisoned the cell and waited long enough for it to panic. Where is the early signaling? Where is the metabolic inflection? Where is the first irreversible decision?” “We don’t capture that.” “Exactly. You built a platform that cannot see the mechanism. YOUR PLATFORM IS FUCKING BLIND.” “The virtual cell...showed the perturbation effect cleanly.” “Yes. because your VIRTUAL CELL IS VIRTUAL. it assumes the cell is a bag of transcripts. Do you think metabolites show up? OR AN ISOFORM? AN ISOFORM, THAT WILL DEGRADE IN THE CELL BEFORE YOU EVER REACH YOUR SENSOR? THAT ONE? YOU THINK THAT'S HOW CELLS WORK?” “So what do you want me to do?” “Delete the atlas.” “What?” “Delete it. The whole thing.” “But that’s the core result.” “It’s three weeks of garbage narrative built on a blind instrument. Delete it.” “…Now what?” “Now you rebuild the measurement. You observe the cell while the perturbation propagates. You track chemistry, not just transcripts. You capture the first divergence, not the final corpse.” “That’s… not perturb-seq anymore.” “Exactly.” door slams
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Online Now: Rapid UPF1 depletion illuminates the temporal dynamics of the NMD-regulated human transcriptome dlvr.it/TN0GcP
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When you want to fry an egg but also have to do data-driven integrative research
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Lorenzo Calviello retweeted
The EU initiative has crossed 1.25 million signatures! I think 250k is the current record for invalid signatures thrown out on other initiatives, so we MIGHT be safe, but I could see us breaking that record also. The more margin we get, the better! eci.ec.europa.eu/045/public/…
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Neural Cellular Automata (NCA) are a new approach combining AI with mechanistic modelling. We designed a novel NCA architecture to handle the stochasticity of biological tissues. These can be trained on spatial 'omics data to *learn the rules* of normal and cancer growth.
📄 In this work, we try to bridge two parallel research areas: the well-established literature on agent-based modeling in biological systems and recent advances in learning update rules in CA from data with autodifferentiation. arxiv.org/abs/2506.20486
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📄 In this work, we try to bridge two parallel research areas: the well-established literature on agent-based modeling in biological systems and recent advances in learning update rules in CA from data with autodifferentiation. arxiv.org/abs/2506.20486
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Come have fun with us on many multidisciplinary projects!
🚨 Fully funded #PhD opportunities at Human Technopole in Milan! 🔬 Apply by 9 June to join top research groups in Comp Bio, Struct Bio, Genomics, Neurogenomics, Mol Cell Bio 🌍 Open to grads worldwide via @semm_it 👉 humantechnopole.it/en/news/1…
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💡 Thinking about a PhD? ✨ Join us on 15 April for the PhD Open Day at Human Technopole! Explore cutting-edge research, meet our Group Leaders, and discover training opportunities in an international, dynamic environment. Register now 👉 humantechnopole.it/en/traini…
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Great collaboration as detailed in the thread and another first author paper for @francescocist9 from my group! 😊
🚀 Thrilled to announce our latest #preprint on intraplaque haemorrhage (IPH) quantification and molecular 🧬characterisation of carotid plaques using deep learning. A thread 🧵👇🏽
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In Milan @humantechnopole we opened core-funded computational Group Leader positions in one or more of bioimage analysis, spatial ‘omics, AI for genomes and proteins, computational simulations of cells and tissues. Come to lead your research programme! careers.humantechnopole.it/o…
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Hey #teamtomo!📢@humantechnopole is recruiting new group leaders in Computational Structural Biology!📢 “Mapping biomolecular complexes across scales using cryo-EM🔬and cryo-ET❄️data, using LLMs🤖for in silico inference of protein function and mechanisms”: careers.humantechnopole.it/o…
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