GenBio AI

?? We are excited to announce Ziv Bar-Joseph as our new Co-Founder and Chief Scientific Officer. Ziv will lead our efforts to advance AI-driven biological models and oversee our Paris-based research team. Ziv brings deep experience from his role as VP, Head of R&D Data and Computational Sciences at Sanofi, where he led multidisciplinary teams in AI applications for drug discovery and vaccine development. He is also a FORE Systems Professor at Carnegie Mellon University, specializing in biological systems modeling and AI applications in genomics. Co-Founder and Chief Scientist of GenBio AI, Eric Xing, shared: "Ziv is a highly accomplished colleague from CMU and his expertise in computational biology and AI is unparalleled. His leadership will be instrumental in shaping GenBio AI research and development directions. We are thrilled to have him on board as we push the frontiers of scientific discovery." With Paris as a hub for research and innovation, Ziv’s leadership will guide our efforts in creating integrated, multiscale foundation models to simulate and predict biological systems across molecules, cells, tissues, and phenotypes. Join us in welcoming Ziv to the team! #AI #ComputationalBiology #MachineLearning #GenBioAI

Don't miss out on this session at Google Cloud Next in Las Vegas on April 10, where GenBio AI Co-Founder and CTO, Le Song, will join leading biotech founders C. Jimmy Lin, MD, PhD, MHS, Cyriac Roeding, and Sergei Yakneen, moderated by Scott Penberthy. The panel, titled "From code to cure: AI for biotech startups", will explore how AI is driving breakthroughs in biotech, from drug discovery to personalized medicine, and discuss how biotech founders are leveraging AI to accelerate research, improve diagnostics, and develop innovative treatments. Key details: ?? April 10, 2025 ?? 2:45 - 3:30 PM PDT ?? Google Cloud Next, Las Vegas ?? Reserve your spot: https://x.genbio.ai/bB12Aw Don’t miss this insightful session on the role of AI in shaping the future of AI-driven biology.

Hey tech community! ?? Over here at GenBio AI we're growing our DevOps team and looking for a Senior DevOps Engineer to join us in our Palo Alto office. If you're passionate about automation and scaling infrastructure, or know someone who is, let's chat! Leave a comment or tag a friend. We'd love to hear from you! ?? https://lnkd.in/gWHkRXM8 #DevOpsEngineer #PaloAlto #TechJobs #ML #AI

We just wrapped up an incredible hands-on meeting in Palo Alto, during which we united our global team from the US, UAE, and France and welcomed friends from Germany and Israel. Thank you to Fred Hu, Eric Xing, Le Song, Dekyi （Hong) Liang, Ziv Bar-Joseph, Hongyi Wang, Caleb Ellington, Bilige S., Elijah Cole, Shahin Mohammadi, Euxhen Hasanaj, Easwaran Ramamurthy, PhD, Dikshant Pratap Singh, Omar Sahlah, Christoph Feinauer, Aleksandr Kovaltsuk, Luca Alessandro Silva, Janice Jia Zuo and Roberto Iriondo. A big thank you to our Senior Scientific Fellows, Eran Segal and Fabian Theis, for their ongoing support and guidance. We were honored to have Professor and Nobel Laureate Michael Spence and Stanford University Professor Emma Lundberg join us and share their knowledge and expertise. 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: https://genbio.ai/careers

GenBio AI Co-Founder and Chief Scientist?Eric Xing?will present on "Toward Next Generation AI Systems Beyond Lingual Intelligence" at?Stanford University's AI + Biomedicine Seminar. Details are below ??. In this seminar, you will learn about the PAN world model (Physical, Agentic, Networked) and AIDO (AI-driven Digital Organism) FM4Bio models. He will explore how these models can drive AI’s impact on biology, including their ability to simulate and program biological systems. ?? Key details: ?? Date: March 10, 2025 ?? Time: 10:00 - 11:30 AM PT ?? Location: Biomedical Innovation (BMI) 1021, Stanford University Don’t miss this opportunity to attend this session on the future of AI-driven biology.

GenBio AI Co-Founder and Chief Scientist Eric Xing will be giving an inaugural lecture at the AI Lab Distinguished Lecture Series at Princeton University on March 7, 2025. In his talk, titled "Multiscale Foundation Models for Predicting, Simulating, and Programming Biology at All Levels", Eric will present AI-driven approaches for biological modeling. He will discuss AIDO (AI-Driven Digital Organism) and introduce foundation models for DNA, RNA, Protein, Structure, and Single Cell, aimed at solving biological problems from sequence to phenotype to disease modeling. ?? March 7, 2:00–3:30 PM ET ?? Maeder Hall, 86 Olden Street, Princeton University ?? Learn more: https://x.genbio.ai/HfC5dm ?? RSVP: https://x.genbio.ai/MY1Y4G

Excited to join GenBio AI as Co-Founder and Chief Scientific officer GenBio’s goal is to use biological foundation models to create the first AI-Driven Digital Organism (AIDO).?These models have the potential to revolutionize life science research, drug and vaccine discovery and many other related areas. My focus would be on the integration of our state of the art foundation models and on driving the use of the integrated models for real use cases in biology and medicine. The vision is great but the challenges are also massive. I look forward to working with?our?GenBio team to gain much better understanding of biology and medicine and use these models to improve the lives of patients around the world.?

Big thanks to our presenter,?Philip Fradkin, our hosts,?Caleb Ellington?and?Shahin Mohammadi, and everyone who attended our first?#FM4Bio?seminar. Stay tuned, as we’ll be posting the recorded talk on "How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval" soon ??

We're live in 3 hours! Philip Fradkin is a phenomenal researcher and I'm excited to host him as GenBio AI's first FM4Bio seminar speaker. Phil will do a deep dive on his recent MolPhenix work which improved more than 8x over the previous SOTA for predicting how cells respond to therapeutics by using pre-trained models. Tons of insights for multi-modal learning, perturbation modeling, model design, and algorithmic ML. I'll be giving Phil your questions live and asking some of my own. Come learn with us!

In this role, Bar-Joseph will lead work on the integration and use of the company's multiscale foundation models to set a new course for drug discovery, medicine and biological understanding.