Building the World’s First AI-Driven Digital Organism (AIDO). We're hiring: genbio.ai/careers
Palo Alto | Paris | Abu Dhabi
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🧬 Excited to announce our collaboration with @NVIDIA to accelerate virtual-cell world models!
Our agentic system VCHarness autonomously builds, tests, and refines AI models of human cells, discovering novel architectures in days, not months.
Together, we're shortening the path to drug discovery. 🔬 👉 genbio.ai/advancing-agentic-…
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1/ 🚀 Today, we are thrilled to announce the launch of GenBio AI, a new startup aiming to develop the world’s first AI-Driven Digital Organism (AIDO)! A new era in biology and artificial intelligence has begun. 🧬✨
Here’s how we’re transforming research with multiscale foundation models and what makes us stand out. 🧵👇
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🚀 Introducing AIDO.DNA2, GenBio AI’s next-generation multi-species genomic foundation model.
Built with a Mixture-of-Experts architecture and trained on the massive OpenGenome2 dataset, AIDO.DNA2 delivers higher accuracy, better efficiency, and stronger generalization across species, from variant prediction to regulatory genomics.
Explore how it outperforms baselines and advances clinical genomics:
🔗 genbio.ai/aido-dna2-multi-sp…
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1/ We’ve updated AIDO.ModelGenerator, our open-source framework, which enables scientists and engineers to integrate their own data with all publicly available data using state-of-the-art (SOTA) foundation models. AIDO.ModelGenerator can be used for adapting, benchmarking, and applying biological foundation models across many modalities and scales. 🧬🦠
New foundation models, datasets, and tutorials are now available on @HuggingFace and @GitHub.
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1/ 🚀 Introducing AIDO.StructureDiffusion:
A generative model for structural protein design—enabling high-quality, controllable generation of monomers, complexes, and antibodies.
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1/ How can we model each tumor’s unique biology instead of relying on one-size-fits-all approaches?
In our latest blog post, we highlight findings from the recent PNAS paper with GenBio AI Research Scientist @probablybots and Co-Founder and Chief Scientist @ericxing, showing how contextualized networks pave the way for an interactome module in AIDO.
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7/ Join Us
As we launch GenBio AI, we’re calling all researchers, innovators, and partners to explore what’s possible.
We have labs in Palo Alto, Paris, and Abu Dhabi and continue expanding!
Visit us at genbio.ai to learn more.
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1/ 📢 We’re pleased to welcome Ziv Bar-Joseph as Co-Founder and Chief Scientific Officer of GenBio AI, where he will lead efforts on multiscale foundation models for biology. Ziv will be based in our Paris office, overseeing a team focused on AI applications in biology.
ALT Image welcoming Ziv Bar-Joseph as Co-Founder and Chief Scientific Officer of GenBio AI. Ziv brings extensive experience from his previous roles as VP, Head of R&D Data and Computational Sciences at Sanofi and as a FORE Systems Professor at Carnegie Mellon University (CMU). He worked at the School of Computer Science, Machine Learning Department, and Computational Biology Department at CMU. The image features Ziv alongside abstract flowing shapes in the background, highlighting his leadership in AI-driven biology and computational modeling.
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1/ We just wrapped up an incredible hands-on meeting in Palo Alto, bringing together our global team from the US, UAE, and France, with friends visiting from Germany and Israel.
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The GenBio AI team is in #Paris for our first company retreat! 🌍
From Palo Alto to Abu Dhabi, Pittsburgh, Boston, Milan, and beyond, our global team has come together to collaborate in person.
Huge thanks to everyone who made this gathering possible—your exceptional skills, innovative thinking, and collaborative spirit are what set this team apart.
At GenBio AI, we're advancing state-of-the-art research at the intersection of AI and biology, building AIDO to unlock new possibilities in scientific discovery and innovation.
Join us → genbio.ai/careers
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"Just like large language models revolutionized the internet, foundation models for biology are becoming the core AI infrastructure for biotech and biomedicine."
— Le Song @dasongle, Co-Founder & CTO, GenBio AI
#GoogleCloudNext
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5/ Learn more about our work on AI-Driven Digital Organism (AIDO): genbio.ai/research/aido.html
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1/ The Chan Zuckerberg Initiative @cziscience is now hosting our AIDO.Cell-100M in its virtual cells platform. 🧬🦠
ALT A digital infographic titled “Transcriptome-Scale Cell Foundation Model” visually explains the architecture and capabilities of AIDO.Cell-100M. On the left, four icons highlight model capabilities: pretraining on 50 million human cells, capturing both upregulated and repressed gene expression, modeling continuous single-cell expression, and enabling transfer learning for perturbation modeling. In the center, a magnified cell shows colorful DNA strands and intracellular components above a pastel tissue background, symbolizing the model's transcriptome-level understanding. On the right, a flowchart represents the data pipeline: gene context length of 20,000, hierarchical downsampling, gene embedding layer, and transformer models (10M, 100M, 650M parameters). The final box notes masked language modeling to predict high read-depth expression values. The bottom states: “Models the Whole Human Transcriptome Distribution Across 50 Million Cells.” AIDO.Cell-100M by GenBio AI.
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1/ 🚀 Kicking off the Foundation Models for Biology Seminar Series!
In this talk, @phil_fradkin discusses his paper "How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval."
Watch the full talk on YouTube:
piped.video/watch?v=4d9BcFIO…
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1/ 🧭 What happens when you bring RNA velocity into physical space? In our latest FM4Bio Seminar, @LabWelch presents TopoVelo: a model that infers how cells transition in space and time using spatial transcriptomics.
📺 Watch the talk: piped.video/watch?v=IBBgWaY8…
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1/ 🧭 Another session in our FM4Bio Seminar Series!
In this talk, @Dominik1Klein presents moscot, a scalable method for aligning single-cell data across time, space, and modality.
📺 Watch the talk: piped.video/watch?v=ClKc2U94…
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2/ Emma is a Professor of Bioengineering and Pathology at @Stanford, a Professor at @KTHuniversity, and Director of the Cell Atlas in the @ProteinAtlas project.
Her work has shaped how we understand protein localization and cellular architecture.
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1/ 🧬 What if a transformer could decode how genes interact across millions of single cells?
In our latest FM4Bio Seminar, @jkobject presents scPRINT, a foundation model trained on 50M+ scRNA-seq profiles to infer gene regulatory networks.
🎥 Watch the talk: piped.video/D3ykmh-CH3w
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4/ This work strengthens AIDO’s vision: multiscale foundation models for predicting, simulating, and programming biology across contexts, from molecules to phenotypes.
Read more ↓ genbio.ai/aido-interactome-c…
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Check out GenBio AI's Co-Founder and Chief Scientist, @ericxing's talk on “Toward AI-Driven Digital Organism: A System of Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels.“ Explore how multiscale foundation models are transforming biology.
📄 Explore the research paper: genbio.ai/research/aido.html
📷🎥 Full talk: piped.video/watch?v=mxegr8Nf…
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1/ The GenBio AI team had a fantastic full day at our gathering in Paris! 🌍
ALT GenBio AI company retreat in Paris, France composed of some of the most brilliant minds in AI and Computational Biology. People portrayed in the picture include, Jiayou Zhang, Shuxian Zou, Roberto Iriondo, Nicholas Ho, Shahin Mohammadi, Elijah Cole, Aleksandr Kovaltsuk, Janice Zuo, Easwaran Ramamurthy, Bilige Suode, Dekyi Liang, Christoph Feinanuer, Luca Alessandro Silva, Eran Segal, and Le Song.
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5/ Join us in welcoming Ziv Bar-Joseph to GenBio AI!
🔗 Learn more: genbio.ai/welcome-ziv-bar-jo…
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Thank you to everyone who joined us at GenBio AI’s private reception in Vancouver, BC.
We’re grateful to be surrounded by such a vibrant, forward-looking scientific community in AI and biology.
Stay tuned and learn more: genbio.ai/blog
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3/ Why this matters for AIDO:
• Generating personalized models on-demand for every individual
• Unified ML paradigm for multi-modal data integration
• Information flow from molecular to cellular scale improves disease models
Paper 🔗 pnas.org/doi/10.1073/pnas.24…
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3/ 📖 Read the summary blog for more details:
genbio.ai/how-molphenix-impa…
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4/ The model lays a foundation for reconstructing whole-tissue dynamics and highlights how spatial structure influences fate transitions.
📖 Read the blog summary: genbio.ai/topovelo-mapping-c…
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6/ This marks a step forward in fully integrated AI-guided protein design, where the design is no longer isolated but embedded within a broader biological context.
Read the blog:
🔗 genbio.ai/aido-structurediff…
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1/ Today, GenBio AI Co-Founder & CTO, @dasongle had the opportunity to present his work to HH Sheikh Mohamed bin Zayed Al Nahyan @MohamedBinZayed, President of the UAE, during His Highness’ visit to @MBZUAI.
ALT GenBio AI Co-Founder and Chief Scientist Eric Xing, His Higness' HH Sheikh Mohamed bin Zayed Al Nahyan, President of the UAE, and GenBio AI Co-founder and CTO, Le Song portrayed during a presentation at MBZUAI in the UAE.
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📖 Read the blog summary: genbio.ai/moscot-maps-cells-…
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1/ 📢 We're excited to welcome Emma Lundberg @Prof_Lundberg as our new Co-Founder and Chief Scientific Advisor.
Emma is a leader in spatial proteomics, bioimaging, and AI. She joins GenBio AI to help guide our scientific direction and data strategy.
Join us in welcoming Emma to the GenBio AI team!
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5/ 📖 Read the full blog post by @probablybots for details on the new models, benchmarks, and use cases: genbio.ai/aido-model-generat…
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1/ 🧬 GenBio AI's AIDO.Protein-RAG (16B) now ranks #1 on ProteinGym, the most widely used benchmark for protein prediction.
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2/ We started with a hands-on workshop, followed by a great outing in Paris and a team dinner to bring the day to a close. Some colleagues even stayed to work from the #Paris office. Au revoir! 🥐🇫🇷
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1/ GenBio AI will present five papers at the 42nd International Conference on Machine Learning (ICML 2025), highlighting recent work on biological foundation models.
🧬 Read the blog: genbio.ai/icml-2025
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3/ A big thank you to our Senior Scientific Fellows, @segal_eran and @fabian_theis, for their ongoing support and guidance.
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4/ scPRINT helps move single-cell biology from isolated measurements to meaningful systems-level insights.
📖 Blog summary: genbio.ai/scprint-gene-netwo…
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1/ "GenBio AI’s mission is to create a system used by anyone to start asking questions at the biological level. What was previously impossible is now achievable with the right compute, data, and training," shared GenBio AI Co-Founder and Chief Scientist @ericxing. #WEF2025
ALT A panel discussion at the World Economic Forum featuring Eric Xing, Co-Founder and Chief Scientist of GenBio AI, Dr. Peter Lee, President of Microsoft Research, and Anne Bouverot, Special Envoy of the French President to the AI Action Summit. Moderated by Bill Owens, Executive Producer of CBS 60 Minutes, the panelists discuss AI’s transformative role in medicine and biotechnology.
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genbio.ai/biomni-a-general-p…
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Help us shape the future of AI and Biology. 🦠🔬
We're hiring across Research, Engineering, Finance and Operations.
🚀 Join a world-class team shaping the future of AI-driven biology.
Apply now: x.genbio.ai/careers
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GenBio AI Senior Scientific Fellow, @segal_eran, is in Abu Dhabi this week for @ADGHWTweets.
In the panel "What’s Next for Gene Editing and Cellular Gene Therapies," Professor Segal shared how the Human Genome Project laid the groundwork for precision medicine.
📥 Download the full brochure to attend all of his sessions + register: x.genbio.ai/aYjpZy
#ADGHW
ALT Professor Eran Segal portrayed.
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5/ 🚀 We are hiring! Join us in Palo Alto, Paris, or Abu Dhabi: genbio.ai/careers
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4/ We’re hiring across our global hubs in Palo Alto, Paris, and Abu Dhabi. Join us in shaping the future of AI-driven Biology: genbio.ai/careers
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📡 🧬 Join us for the next Foundation Models for Biology Seminar Series (#FM4Bio) session on June 4 at 9 AM PT, featuring @KexinHuang5.
Kexin will present KGWAS, a geometric deep learning method that uses a massive functional genomics graph to enable rare variant discovery in small-cohort GWAS studies.
🔗 Save your spot → x.genbio.ai/seminar
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We’re pleased to share that GenBio AI has been invited to join the @wef's Global Innovator Community.
This week, our Co-Founder and CTO, @dasongle, is participating in the WEF Global Tech Summit 2025, where global leaders will explore how technology can help address pressing challenges.
We look forward to contributing to the conversations shaping the future of science, technology, and global collaboration.
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Help us shape the future of AI and Biology. 🦠🔬
We're hiring across Research, Engineering, and Operations.
Join a collaborative team tackling the exciting challenges facing AI-driven biology.
Apply now: genbio.ai/careers
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GenBio AI Co-Founder @dasongle will participate in the @GoogleCloud Next 2025 session "From Code to Cure: AI for Biotech Startups" in Las Vegas on April 10, 2025.
@scottpenberthy will moderate the discussion on how AI is transforming drug discovery and personalized medicine.
📅 April 10, 2025
🕒 2:45 - 3:30 PM PDT
📍 Google Cloud Next, Las Vegas
🔗 Reserve your spot: x.genbio.ai/bB12Aw
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5/ Emma brings a collaborative spirit, scientific depth, and a strong commitment to open science. These qualities are essential as we build the world's first AI-Driven Digital Organism (AIDO).
🔗 Read the full announcement: genbio.ai/emma-lundberg-co-f…
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1/ How can large models learn to predict how a single cell responds to a drug or genetic edit?
In his FM4Bio Seminar talk, @HAOTIANCUI1 explores how large models are transforming single-cell biology and drug discovery. Watch the full talk:
piped.video/watch?v=QE4H_BUW…
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📡 Join us for the next session in the Foundation Models for Biology Seminar Series (FM4Bio) on May 16 at 10 AM PT, featuring @jkobject.
Jérémie will introduce scPRINT, a large-scale foundation model trained on 50M single cells from the cellxgene database. The model infers gene networks and demonstrates powerful zero-shot capabilities in denoising, batch correction, and cell label prediction.
➡️ Save your spot: genbio.ai/fm4bio-seminar/
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🧬 2/ AIDO.ModelGenerator is designed to help researchers apply pre-trained models across multiple biological tasks—from genome analysis to multi-molecule structure prediction to systems biology and tissue modeling.
It supports both GenBio’s AIDO family of models and open-source FMs like Enformer, ESM2, and scFoundation.
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📡🧬 Join us for the next Foundation Models for Biology Seminar Series (#FM4Bio) session on June 18 at 9 AM PT, featuring @manntis4.
Eli will present "Egret-1: Pretrained Neural Network Potentials for Efficient and Accurate Bioorganic Simulation." Simulating atomic systems with both speed and accuracy could reshape molecular and materials design. Egret-1 offers a promising new path.
Save your spot → x.genbio.ai/seminar
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🧬 Join GenBio AI Co-Founder & Chief Scientist @ericxing at #ODSCEast!
In his keynote, “Toward Public and Reproducible Foundation Models Beyond Lingual Intelligence,” he will explore the next frontier of foundation models and their applications beyond language, including the future of AI-driven biology.
📅 May 15, 9:15 AM ET
📍 @_odsc East 2025
🎟️ Register here: x.genbio.ai/7rKanX
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5/ This research supports GenBio AI’s mission to develop foundation models that deliver precision, scale, and real-world impact in biology and medicine.
Full paper📄: nature.com/articles/s41591-0…
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3/ The new models included in this release allow us to connect more modalities and scales:
• AIDO.StructurePrediction: structure prediction model which handles all biomolecules in a unified model, including protein, DNA, RNA, ligands, and multi-molecular complexes
• AIDO.Protein-RAG: protein modeling which connects MSA and structure tokens
• AIDO.Tissue: context-aware model trained on spatial transcriptomic data which connects single cell and tissue modeling
📦 Check out the models on @HuggingFace: huggingface.co/genbio-ai
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📡 Upcoming Seminar: "Mapping Cell Fate Transition in Space and Time," presented by Associate Professor at the @UMich, @LabWelch.
Professor Welch will introduce TopoVelo, a method that integrates spatial data with RNA velocity to model cell fate transitions and tissue development.
📅 April 14, 2025
🕒 10 AM PT
➡️ Register now → x.genbio.ai/fm4bio-seminar
ALT Banner for Foundation Models for Biology Seminar Series (FM4Bio) by GenBio AI, promoting a webinar titled 'Mapping Cell Fate Transition in Space and Time' presented by Associate Professor Joshua D. Welch from the University of Michigan. Seminar details and registration are available at https://genbio.ai/fm4bio-seminar/
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4/ We were honored to have Professor and Nobel Laureate Professor Michael Spence and @Stanford Professor @Prof_Lundberg join us and share their knowledge and expertise.
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1/ 🚨 We’re at #MLSys2025 this week in Santa Clara!
🎤 Our Head of Infrastructure, @HongyiWang10, is chairing Session 10: LLM and Diffusion Model Serving.
🗓️ May 15, 1:15–2:40 PM PT
The session topics include:
• Prefix caching
• Fused Attention
• CPU offloading
• Scalable LLM serving
Full session details: mlsys.org/virtual/2025/sessi…
ALT GenBio AI at MLSys 2025!
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1/ 🚨 Just published in @NatureMedicine
An international team of researchers, including GenBio AI Co-Founder @ericxing, Senior Scientific Fellow @segal_eran, @MBZUAI, and others, shares a major advancement from the Human Phenotype Project (HPP).
📄 nature.com/articles/s41591-0…
🎥 Video courtesy of @MBZUAI below ↓
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4/ 🧪 Also comes with:
• Benchmark datasets (cell type, age, perturbation)
• Utilities for scaling and experimentation
• Use cases integrating multiple foundation models for structure prediction, target ID, vaccine design, and more
🔗 Try it out via ModelGenerator: github.com/genbio-ai/ModelGe…
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3/ 🔗Save your spot: x.genbio.ai/seminar
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🎙 Can AI simulate life? On the AI X Podcast by @_odsc, GenBio AI Co-Founder & Chief Scientist @ericxing shares how AI could one day simulate life itself.
🧠 Key topics:
• What world models are and why agentic AI needs them
• AI-Driven Biology and GenBio AI's vision with AIDO
• Why LLMs aren’t suited for biology
• Simulating experiments instead of running them in the lab
• The path to fully virtualized discovery in biology
• Ethical boundaries and scientific readiness
▶️ Listen: x.genbio.ai/odsc-podcast
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GenBio AI Co-Founder and CSO Ziv Bar-Joseph spoke with Hannah Roberts, VP and Head of US Permanent Recruitment at i-Pharm Consulting, about AI's role in drug development. They discussed GenBio AI's mission to build AI-Driven Digital Organisms (AIDO), where AI adoption is accelerating, and the challenges it faces in the pipeline.
Learn more ↓ linkedin.com/pulse/co-founde…
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📢 Upcoming Seminar: Mapping Cells Through Time and Space With Moscot
Join @Dominik1Klein as he introduces moscot, an open-source framework using optimal transport to reconstruct cellular trajectories and enhance multimodal single-cell analysis to uncover key biological insights—including applications in pancreas research and beyond.
📅 March 26, 2025 | 🕙 10 AM PT
📄Paper: nature.com/articles/s41586-0…
🔗 Register now: x.genbio.ai/seminar
ALT Announcement for the GenBio AI seminar titled "Mapping Cells Through Time and Space With Moscot" by Dominik Klein. The event is scheduled for March 26, 2025, at 10 AM PT. The background is light gray with an abstract green and blue 3D design. Dominik Klein's portrait is featured within a rounded rectangular frame on the right side, showing him smiling and wearing a plaid jacket. The GenBio logo is in the top left corner, and a QR code is placed at the bottom left with the text "Save your spot ↓", directing viewers to register at https://x.genbio.ai/seminar
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🚀 We’re looking forward to next week’s @GoogleCloud Next '25.
GenBio AI Co-Founder and CTO @dasongle will join @scottpenberthy, @cyriac1, @SergeiIakhnin, and Jimmy Lin for the session “From Code to Cure: AI for Biotech Startups” on April 10, 2:45–3:30 PM PDT.
🔗 Register now → x.genbio.ai/bB12Aw
@GoogleStartups #GoogleCloudNext
ALT Graphic for the Google Cloud Next '25 session titled "From code to cure: AI for biotech startups." The session is scheduled for April 10, 2:45 PM–3:30 PM. The design features a colorful abstract 3D shape with green, yellow, and red elements, alongside a blue and red molecular-like structure. A blue button reads "Register at g.co/cloudnext" and the image includes the hashtag #GoogleCloudNext.
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1/ 📅 Mark your calendars! On March 3, 2025, at 11:00 AM PT for a seminar by @phil_fradkin on "How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval."
Learn how contrastive learning can improve drug discovery with the MolPhenix model.
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3/ 🔗Save your spot: x.genbio.ai/seminar
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3/ Alongside the model card, we’re releasing:
• A quickstart guide to using AIDO.Cell: x.genbio.ai/gR9LNB
Coming soon:
• A tutorial using AIDO.Cell for cell-type classification for cell classification and target ID
• A tutorial using AIDO.Cell to simulate gene knockouts, identifying prominent therapeutic targets for Crohn’s disease where traditional analyses have failed.
And many more tutorials and experiments on ModelGenerator are coming soon.
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1/ 📅 Only a few days left to register. Don’t miss the chance to hear from @phil_fradkin on how contrastive learning is shaping drug discovery.
On March 3, 2025, at 11:00 AM PT, Phill will present "How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval."
ALT Image for the GenBio AI seminar titled "How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval" by Phil Fradkin. The image features Phil Fradkin, with the event details listed: March 3, 2025, at 11:00 AM PT. A QR code is included for registration, and the "Save your spot" call-to-action directs viewers to the registration link: https://x.genbio.ai/seminar
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4/ By closing the loop between models and experiments, AI moves from prediction to understanding.
Read the full summary blog:
genbio.ai/large-models-singl…
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GenBio AI Co-Founder and Chief Scientist @ericxing will speak at the Eric and Wendy Schmidt Center Symposium on Biomedical Science and AI. His invited talk, "Toward AI-Driven Digital Organisms: Multiscale Foundation Models for Predicting, Simulating, and Programming Biology at All Levels," will explore the future of AI-driven biology.
Don't miss your chance to attend 👇
🗓️ May 1, 2:00–2:30 PM ET
📍 @Schmidt_Center Koch Institute at @MIT + Virtual
🔗Register here: x.genbio.ai/ewsc-symposium
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1/ 🧬 Heading to #ICLR2025? Join GenBio AI in Singapore. Attend our sessions, meet the team, and connect with us.
Catch GenBio AI Co-Founder and CTO @dasongle in two upcoming sessions where he will share how we are developing AIDO, a modular system of multiscale foundation models for predicting, simulating, and programming biology at all levels. Details below 🧵↓
ALT Illustration of a cityscape representing Singapore with Marina Bay Sands, Supertree Grove, and a DNA helix, alongside text that reads: “We’re at ICLR 2025! Join our sessions, Meet our team, We’re hiring! Details above.” GenBio AI logo appears at the top left.
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1/ 🚀 New from the Foundation Models for Biology Seminar Series (#FM4Bio) at GenBio AI:
🔬 @manntis4 introduces Egret-1, a family of large pretrained neural network potentials (NNPs) for efficient & accurate bio-organic simulation.
🧵 👇
piped.video/watch?v=-g012inw…
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5/ This one-of-a-kind meeting is shaping the future of AI-driven biology, and we’re thrilled for what’s to come! 🚀
We are hiring across teams. Explore our open roles: genbio.ai/careers
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1/ 📅 Don’t miss out! GenBio AI Co-Founder and CTO @dasongle will be presenting on "Towards AI-Driven Digital Organism: A System of Multiscale Foundation Models for Biology" at the AI2ASE Workshop at the @RealAAAI Conference on March 3rd, 2025, at 9:30 AM ET in Room 121B.
ALT An image for Dr. Le Song's upcoming presentation, titled "Towards AI-Driven Digital Organism: A System of Multiscale Foundation Models for Biology," at the AI2ASE Workshop during the AAAI Conference on March 3, 2025. The image features a photo of Le Song, Co-Founder & CTO of GenBio AI, alongside the event details. Learn more about GenBio AI at https://genbio.ai/.
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2/ What it does:
→ Residue-wise CAT class conditioning
→ Precision CDR and light chain control
→ scFv generation
→ Multi-domain single-chain designs
→ Immunoglobulin-specific tuning
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2/ Biological data is vast, fragmented, and complex. Current approaches work in silos, solving 1-2 tasks at a time.
This limits our ability to uncover systemic insights for breakthroughs in medicine, disease understanding, and personalized health.
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1/ 🚨 #FM4Bio seminar update! 🚨
Due to strong interest in Biomni, our next Foundation Models for Biology (FM4Bio) seminar with @KexinHuang5 will now focus on: "Biomni: A General-Purpose Biomedical AI Agent."
📅 June 4, 9:00 AM PT
📍 Save your spot: x.genbio.ai/seminar
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3/ As our first step towards AIDO, we’ve built 6 multiscale foundational models to simulate, program, and predict biological outcomes.
From DNA to RNA, proteins, and single cells, we’re connecting the dots across scales to decode biology holistically.
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Big thanks to @Dominik1Klein, our hosts @ShahinMohammadiand @probablybots, and everyone who attended today’s #FM4Bio seminar.
Stay tuned—we’ll be posting the recorded talk on "Mapping Cells Through Time and Space With Moscot" soon 🚀
📢 Upcoming Seminar: Mapping Cells Through Time and Space With Moscot
Join @Dominik1Klein as he introduces moscot, an open-source framework using optimal transport to reconstruct cellular trajectories and enhance multimodal single-cell analysis to uncover key biological insights—including applications in pancreas research and beyond.
📅 March 26, 2025 | 🕙 10 AM PT
📄Paper: nature.com/articles/s41586-0…
🔗 Register now: x.genbio.ai/seminar
ALT Announcement for the GenBio AI seminar titled "Mapping Cells Through Time and Space With Moscot" by Dominik Klein. The event is scheduled for March 26, 2025, at 10 AM PT. The background is light gray with an abstract green and blue 3D design. Dominik Klein's portrait is featured within a rounded rectangular frame on the right side, showing him smiling and wearing a plaid jacket. The GenBio logo is in the top left corner, and a QR code is placed at the bottom left with the text "Save your spot ↓", directing viewers to register at https://x.genbio.ai/seminar
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1/ We had a great experience at #ICLR2025 in Singapore! 🧬🔬
GenBio AI Co-Founder & CTO @dasongle presented AIDO, an integrated system of multiscale foundation models for biology, at the Foundation Models in the Wild workshop and the Learning Meaningful Representations of Life (LMRL) panel.
Thanks to everyone who participated!
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2/ Traditional methods miss patient-specific details. Contextualized models infer sample-specific GRNs, unlocking a more precise understanding of tumor biology.
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1/ 🧬 We’re at #ICML2025!
GenBio AI is presenting five papers on generative AI for biology across two major workshops. Research areas: protein design, tissue modeling, perturbation prediction, and multimodal FMs 🧵↓
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5/ This effort expands access to researchers using single-cell data in discovery pipelines.
Get started with the AIDO.Cell-100M model on the platform: x.genbio.ai/vkL1oS
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📢 Happening today!
GenBio AI Co-Founder & CTO @dasongle will be presenting at the MedInvest Biotech & Pharma Investor Conference in Palo Alto, CA.
📍 Session: Decode Biology Holistically, Revolutionize Biomedicine
🗓️ September 24, 2025 – 3:20 PM PT
We are proud to contribute to a gathering with 125+ investors, 50+ presenting companies, and leading voices shaping the future of biotech.
🔗 Learn more and register: x.genbio.ai/medinvest
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2/ Big thanks to Fred Hu, @ericxing, @dasongle, Dekyi Liang, Ziv Bar-Joseph, @HongyiWang10, @probablybots, BIlige Suode, Elijah Cole, @ShahinMohammadi, @EuxhenH, @eascompbioml, Dikshant Singh, Omar Sahlah, @cfeinau, Aleksandr Kovaltsuk, Luca Alessandro Silva, Janice Zuo and @robiriondo for making it a success!
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1/ 🔬 New talk at the Foundation Models for Biology Seminar Series (FM4Bio) by GenBio AI:
@abhinadduri introduces state-conditioned perturbation modeling, a framework for predicting how edits, drugs, or doses affect cells depending on their state.
📺 Watch: piped.video/watch?v=mRT1WsiR…
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4/ Such advances could reshape drug discovery, cancer treatment, and our understanding of fundamental biology. We're proud to be part of this cutting-edge work.
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4/ Our models:
✅ Solve up to 300 tasks simultaneously (vs 1-2 by competitors).
✅ Integrate data across molecules to entire organisms.
✅ Enable researchers to experiment with living systems virtually before the lab.
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1/ We had a great week at #MLSys2025!🧬🔬
🧠 GenBio AI Head of Infrastructure, @HongyiWang10, chaired the session on LLM and Diffusion Model Serving.
📝 We also presented “Radius: Range-based Gradient Sparsity for Large Foundation Model Pre-training."
And yes, we hit Topgolf too. 🏌️♂️
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🚨 GenBio AI Co-Founder and Chief Scientist @ericxing will be giving an inaugural lecture at the AI Lab Distinguished Lecture Series at @Princeton on March 7, 2025.
The talk, titled "Multiscale Foundation Models for Predicting, Simulating, and Programming Biology at All Levels," will explore AI-driven approaches for biological modeling.
📅 March 7, 2:00–3:30 PM ET
📍 Maeder Hall, 86 Olden Street, Princeton University
🔗 Learn more: x.genbio.ai/HfC5dm
📌 RSVP: x.genbio.ai/MY1Y4G
ALT An image promoting the Distinguished Lecturer Series at Princeton, featuring Eric Xing, Co-Founder and Chief Scientist of GenBio AI and President of Mohamed bin Zayed University of AI. The event, titled "Multiscale Foundation Models for Predicting, Simulating, and Programming Biology at All Levels", will take place on March 7, 2025, from 2:00 PM to 3:30 PM at Maeder Hall, Princeton University. The image includes the event details along with a photo of Eric Xing and the Princeton logo.
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Happy Holidays from all of us at GenBio AI! 🎄⭐️🎅
ALT A Holiday greeting card from GenBio AI, wishing Happy Holidays to everyone. It includes a design of DNA and holiday decorations.
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📡🧬 Join us for the next #FM4Bio Seminar on Aug 5 at 9 AM PT featuring @abhinadduri
Abhi will present “Predicting Cellular Responses to Perturbation Across Diverse Contexts With STATE.” This work introduces a machine learning architecture that predicts cellular responses to perturbations across diverse contexts with over 50% improved accuracy, enabling scalable development of virtual cell models.
🔗 Save your spot → genbio.ai/fm4bio-seminar/
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6/ 🎥 If you are attending AAAI's AI2ASE workshop, don't miss out on this talk:
📄 Learn more about AIDO: x.genbio.ai/aido
🔗 See more details on the AI2ASE Workshop: ai-2-ase.github.io/
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2/ GenBio AI Co-Founder and Chief Scientist @ericxing explains how generative AI could "decode the language of biology and then speak it," opening the door to groundbreaking advancements like virtual cells.
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6/ Compared to competitors, GenBio AI’s models are:
⚡ Faster
🎯 More accurate
🌍 Holistically integrated
We’re breaking barriers in drug discovery, disease understanding, and personalized medicine.
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5/ Why it matters:
Controllability is key to molecular design.
→ You can guide the structure via the CAT hierarchy
→ Annotate CDRs, species, and chain types
→ Tune for loop length and developability
→ Build entire scFvs, not just fragments
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3/AIDO.StructureDiffusion enables end-to-end antibody generation, not just loop design or masked editing.
You can design antibodies from scratch, guided by function, structure, and developability.
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1/ We’re thrilled to see @TheAtlantic feature GenBio AI's work in @Matteo_Wong's latest article: "A ‘Holy Grail’ of Science Is Getting Closer." 🚀
It explores how generative AI could revolutionize biology through virtual cells. 🧵👇
Virtual simulations of human cells have long been a distant goal of biology. Generative AI could bring it closer, writes @matteo_wong: theatlantic.com/technology/a…
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5/ We are a global team of scientists, engineers, and entrepreneurs from @CarnegieMellon, @Stanford, @MBZUAI, and more.
We’re driven by one mission: Making biology programmable and predictive for revolutionary insights.
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Big thanks to @KexinHuang5, our hosts @probablybots and @ShahinMohammadi, and everyone who attended today's #FM4Bio seminar.
Stay tuned! We'll be posting the recorded talk on "Biomni: A General-Purpose Biomedical AI Agent" soon. 🚀
1/ 🚨 #FM4Bio seminar update! 🚨
Due to strong interest in Biomni, our next Foundation Models for Biology (FM4Bio) seminar with @KexinHuang5 will now focus on: "Biomni: A General-Purpose Biomedical AI Agent."
📅 June 4, 9:00 AM PT
📍 Save your spot: x.genbio.ai/seminar
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Last month, GenBio AI Co-Founder and Chief Scientist @ericxing delivered a keynote at @PrincetonAInews, kicking off their Distinguished Lecture Series for 2025.
He shared our vision for an AI-Driven Digital Organism (AIDO)—building multiscale foundation models to predict, simulate, and program biology at all levels.
🎥 Watch the full lecture: x.genbio.ai/GmrAu2
Our distinguished lecture series kicked off last month with a talk from @ericxing on foundation models for predicting, simulating, and programming biology at all levels
Watch: bit.ly/3Ewc2yA
ALT Eric Xing stands at a podium for his lecture with the AI Lab
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