Ben Busby!
@DCGenomics
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I work for NVIDIA and help out at CMU, JHU and Stanford in an effort to make Bioinformatics Better. Everything I post is my personal opinion. You're awesome!
Pittsburgh, PA
Joined July 2013
Congrats to my PhD advisor @s_batzoglou on his EMNLP paper! 🚀 It’s amazing to see how far AI reasoning through formal proof has come — and Serafim wrote 40K+ lines of code himself. Legend. 💪 Always inspired by Serafim’s innovation and rigor!
New at EMNLP: PROOFGRID evaluates AI reasoning via formal proofs—can models write, check, and edit proofs? In one year we see striking gains: today’s top systems far surpass last year’s.
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🎓Recruiting Ph.D. students for Fall 2026!🎓 We study commonalities & differences across brains, and how they relate to cognition, language, & disorders. We develop brain templates, improve hyperalignment, and compare human brains with monkey brains & DNNs. https://t.co/CgjhD5Zsh0
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🤯 Discover how you can scale transformer models to billions of parameters in PyTorch - without rewriting your pipeline. Dive into NVIDIA BioNeMo Recipes to see how FP8 acceleration, efficient sequence packing, and the Transformer Engine empower breakthrough R&D on NVIDIA GPUs.
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Honoured to be part of this new @ScienceMagazine piece! The real goal isn’t just to mimic biology — it’s to discover new biology. At @Xaira_Thera, we’re building toward that vision — from scGPT to BioReason to the next-gen virtual cell.
science.org
Researchers are competing to make “virtual cells” that could transform biomedicine by predicting gene activity and more
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The cell as a token: high-dimensional geometry in language models and cell embeddings https://t.co/jlUxzvQn1z
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🧬 Excited to share Nicheformer out now in Nature Methods! A transformer foundation model linking single-cell & spatial omics, learning spatial context from gene expression to map tissue organization. Led by Ale Tejada & Anna Schaar 👏 👉 https://t.co/ba9DX7h2xg
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Big news - today we are announcing that @nvidia is working with @EliLillyandCo to launch the world's largest Biopharma AI Factory. Built on over 1000 Blackwell Ultra GPUs, the AI factory will support applications across the entire R&D value chain including drug discovery,
blogs.nvidia.com
Built with over 1,000 NVIDIA Blackwell Ultra GPUs, the AI factory will be essential to supporting modern scientific research using foundation models, as well as physical and agentic AI.
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What a perfect wrap-up to the @corteva Agriscience Congress! 🌱 Organized entirely by PhD candidates and featuring cutting-edge genetic improvement research. The Symposia Series has reached 16 countries — and Spain joined for the first time! 🇪🇸👏 Proud of @ETSIAMCordoba family!
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🔔Coming soon: The next ISCBacademy webinar! This roundtable webinar will explore product management as a #computationalbiology career. Learn what #bioinformatics careers in industry really look like and how to carve your own path!
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Trio-barcoded @nanopre Adaptive Sampling (TBAS) to improve #RareDisease diagnostic at less than 1/2 the $$ & high cov: 76% solve rate across 13 trios inc. two corrections from prev. diagnosis. https://t.co/HbjvhTjTPn
@fuyvei96 @GREGoR_research @BCM_HGSC #Genetics #bioinformatics
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Predicting drug responses of unseen cell types through transfer learning with foundation models https://t.co/jvza2nbpA9
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🚀 Our new Science paper is out (w/ B DeMeo, D Burkhardt, A Shalek, M Cortes): https://t.co/NSfnCblwHh We show that active learning + transcriptomic perturbations can guide which exps to run next, boosting phenotypic hit rates >13x. AI not just predicting bio, but designing it.🔁
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Announcing our new protein design server https://t.co/uu4co1sHhq: • End-to-end protein design for everyone! • Analyze your generated library interactively and on 3D structures • Export codon-optimized DNA sequences for experimental testing. Developed in collaboration
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Cells don’t just exist — they talk, signal, and collaborate. Our work GraphComm is now out in @SciReports ! With GraphComm, we’re teaching AI to listen in on this cellular conversation — a step closer to building the virtual cell. 🧬🤖 🧬 GraphComm is a graph-based deep
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Anthropic launched ‘Claude for Life Sciences’ today - announcing partnerships with Benchling, 10x Genomics and Pubmed
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Amazing resource: 2 million T cells from 70 studies, 1017 biological samples, 583 individuals, and 46 disease conditions https://t.co/5mPPIN9WDf
nature.com
Cell Discovery - A pan-disease and population-level single-cell TCRαβ repertoire reference
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"Genetic architecture of 67 oral diseases and their links to systemic diseases" https://t.co/YAfvp1qY3n
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The virtual cell is no longer a dream — it’s becoming reality. Great @TIME piece on how AI is transforming biology from data-driven to model-driven science. Our work on scGPT and BioReason laid early foundations for this vision, and at @Xaira_Thera , we’re now building next-gen
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SEAM uncovered latent regulatory motifs, decomposed cis-regulatory mechanisms into the contributions of specific binding sites and their surrounding context, and revealed how small numbers of mutations can reprogram regulatory logic.
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