Ben Busby!

I like this so much!

Our lab is expanding and hiring both a postdoc and staff scientist! We study how metabolism and cell cycle states drive tumor progression, therapy response, and immune interactions. Philly is a great place to live and do research! See more at: airdlab.com.

Interesting that the most common recessive disorder (alpha-thalessemia) in the UAE can't be reliably screened via standard short read sequencing. From "Citywide premarital genomic screening in a Middle Eastern population" nature.com/articles/s4159…

Meta-analysis across six global biobanks identifies recessive coding associations with complex traits and diseases: The American Journal of Human Genetics cell.com/ajhg/fulltext/…

Agentic AI for science featured in @naturemethods: nature.com/articles/s4159…. We are still early, with many open challenges ahead, but it is exciting to see this direction continue to evolve, wonderful piece by @metricausa ToolUniverse — an open platform enabling AI agents to use scientific tools and databases at scale, by @GaoShanghua → aiscientist.tools ClawInstitute — shared research boards for long-running collaborative discovery where agents co-develop ideas over time, by @GaoShanghua @AdaFang_ → clawinstitute.aiscientist.tools Medea — an omics AI agent for large-scale biological reasoning and analysis, by Pengwei Sui → medea.openscientist.ai @HarvardDBMI @harvardmed @KempnerInst @broadinstitute

Scaling laws are powering AI. It’s time to scale biology. Today we’re launching the Virtual Biology Initiative to generate the data to unlock scaling laws in biology and build accurate predictive models of the cell. Digital representations of proteins are already expanding our understanding of life at the molecular level, and accelerating the design of molecules and medicines. Accurate digital representations of the cell could reveal the mechanisms that are responsible for disease, and show how to reverse them. The protein data bank, and worldwide repositories of protein sequence biodiversity were created through decades of work by the scientific community. The advances in artificial intelligence for proteins would not have been possible without them. The cell is orders of magnitude more complex, and we will need to create the data in just a few years rather than decades. This will require a coordinated global effort. We're partnering with Broad, Wellcome Sanger, Arc, Allen, Human Cell Atlas, Human Protein Atlas, NVIDIA, and Renaissance Philanthropy. Biohub is contributing to this effort as both a funder and a builder. We are developing microscopy to observe millions of cells in living organisms, and cryo-ET to resolve the cell in atomic detail. We're building instruments that expand the range of modalities and parameters that can be simultaneously measured. We’re developing molecular, cellular, and tissue engineering to create models of disease and design interventions. The data we generate will be available to the worldwide scientific community. We’re also committing $100M over the next five years to support work beyond Biohub. We invite other scientific teams and funders to join. Link: biohub.org/news/virtual-b…

We're bringing a wave of product announcements to #NextflowSummit!🆕 From AI to data integrations to new ways for scientists to work with @nextflowio pipelines and results, we've been busy. CEO @EvanFloden will share our vision.🎤 Don't miss it: hubs.la/Q04dDlYm0

HERRO has been published in @Nature !! nature.com/articles/s4158… This achievement is a result of the great work by @domstanojevic, with contributions from @DehuiLin, @sergeynurk, and @PaolaFlorezdeS We are entering the era of high-quality genome assemblies supported by AI. This is just the beginning.

📣 ELIXIR is offering an 8-week summer student placement! The student will work with the ELIXIR Website, Comms and Technical teams to improve ELIXIR website and related digital services. Apply by 3 May 👉 loom.ly/s_fcJD4

Can AI models tackle 'real' computational biology projects (as opposed to successfully processing toy data)? Great paper by @jeremyli__ and Andrew Ho showing the answer is 'yes' -- the models are not bad now and getting better quickly. biorxiv.org/content/10.648…

Amazing trailblazing super stars. I am SO lucky to work with them. CONGRATULATIONS!

cellNexus: Quality control, annotation, aggregation and analytical layers for the Human Cell Atlas data biorxiv.org/content/10.648…

Ten Quick Tips for Avoiding Pitfalls in Multi-Omics Data Integration Analyses journals.plos.org/ploscompbiol/a…

Plz RT.🤩🤩🤩Free trainee registration for The 10th Annual Translational and Transformative Informatics Symposium (ATTIS) 05/05 2026, with theme “AI in Precision Medicine". @james_y_zou from Stanford will give the keynote. Abstract submission due by 04/30 for winning awards!

We are sharing SkillFoundry, a framework for converting heterogeneous scientific resources into validated #agent #skills. In addition to benchmark improvements, we show utility on genomics workflows. Still early, but very encouraging. #paper" target="_blank" rel="nofollow noopener">ma-compbio-lab.github.io/SkillFoundry/#…

New preprint with Garnett lab 🚀: from descriptive → causal single-cell atlases in CRC.We build the largest CRC atlas (>300 pts, 1.5M cells) using continual learning, and link cell states to causal drivers via Tahoe-100M, validated in organoids! biorxiv.org/content/10.648…

Breakthrough bottlenecks and leverage protein structure prediction for AI-driven drug discovery: hubs.ly/Q049gV8j0 #AI #DrugDiscovery #Pharma #ProteinPrediction #PrecisionMedicine #AlphaFold #Nextflow

a must read for people building rl environments this is from @HanchungLee. he's advising author to SkillsBench and our upcoming ClawsBench. and he's fucking cool. leehanchung.github.io/blogs/2026/03/…

Join us at the coolest AIxBio research institute in the best city in Europe! AITHYRA is hiring new PIs in AI/ML in Vienna. Deadline: 30 April 2026 More info: aithyra.at/fileadmin/down… *Lipizzaner horse is for visualization only and not included in the package

OmicClaw: executable and reproducible natural-language multi-omics analysis over the unified OmicVerse ecosystem. biorxiv.org/content/10.648…

Excited to share our new Nature Methods paper on longcallR, a Rust tool for long-read RNA-seq that jointly performs SNP calling and phasing, and enables haplotype-specific junction analysis. Thanks to @lh3lh3 for the support and guidance. Paper: nature.com/articles/s4159…