Seattle—September 3, 2026—"Endless forms most beautiful” was how Charles Darwin described the spectacular diversity of nature from which our current understanding of life emerged. But that diversity, which evolved over billions of years, is only a fraction of what could exist given the trillions of DNA sequences available in nature, suggesting that our natural world represents only a small slice of what could have been.
Today, AI BioDesign—a bold new collaborative accelerator that will use artificial intelligence, large-scale experiments, and open science to explore that uncharted design space—was announced. It is a collaboration between the Allen Institute, University of Washington, and Fred Hutch Cancer Center.
Working together, the AI BioDesign team will generate open models, datasets, assays, and tools that scientists can use to create new biological solutions to improve human health, address environmental challenges, and spur on advanced technologies. The goal is to learn and model the rules biology uses to build life, enabling the potential development of everything from new drugs to treat cancer and neurodegeneration, to enzymes that can break down plastics in the ocean, to biological computers that use vastly less power than current silicon chips.
“For the first time, the speed of AI is beginning to match the experimental power of synthetic biology,” said Nobel laureate David Baker, lead scientific director of AI BioDesign, director of the UW Medicine Institute for Protein Design, and a Howard Hughes Medical Institute investigator. “That changes the question from ‘what has nature already made?’ to ‘what else is possible, and how can we test it?’ AI BioDesign can help turn that vast unknown into models that can help us solve some of humanity’s hardest problems.”
Supported by Fund for Science and Technology (FFST), a private foundation in the Paul G. Allen philanthropic ecosystem, AI BioDesign brings together complementary strengths across Seattle’s scientific ecosystem: the Allen Institute’s experience building large-scale, open-science platforms; the University of Washington’s expertise in synthetic biology and genome science, such as the Institute for Protein Design and UW Medicine Brotman Baty Institute for Precision Medicine; and Fred Hutch’s depth in cellular systems, genomics, and translational medicine.
“What excites me about AI BioDesign is that it brings together the right people and the right institutions at the right time to advance biological design with AI in the loop,” said Rui Costa, president and CEO of the Allen Institute. “The Allen Institute was built for this kind of work: big science, team science, and open science that creates resources entire fields can use. AI BioDesign combines this approach with AI models to guide which data we generate next, so experiments and models improve together in a continuous cycle of learning and testing. Ultimately, that can help us design new biological functions with greater precision.”
“AI BioDesign is exactly the kind of ambitious, collaborative science FFST was created to support,” said Marc Malandro, chief programs officer and co-lead at Fund for Science and Technology. “As a foundation, we’re looking for projects and to create environments of not just a single discovery but for multiple discoveries and platforms of knowledge that we can share openly.”
How AI BioDesign will work: designing new building blocks of life
AI BioDesign will create a continuous learning platform for biological design. AI models will propose new biological designs, scientists will build and test those designs at scale, and the results will feed back into the models such that each round becomes more accurate and informative. Over time, this design-build-measure-learn cycle will help researchers move from trial and error toward more predictable biological engineering.
“Over the last two centuries, engineering has transformed the world at least three times: the Industrial Revolution, electrification and mechanization, and the digital revolution,” said Jay Shendure, lead scientific director of AI BioDesign, scientific director of the UW Medicine Brotman Baty Institute for Precision Medicine, scientific director of the Seattle Hub for Synthetic Biology, and a Howard Hughes Medical Institute investigator. “We believe engineering’s fourth act lies at the intersection of AI and biology. Biology is code that builds: DNA carries digital instructions, and cells turn those instructions into physical systems with extraordinary precision. AI BioDesign gives us a way to learn that instruction set more systematically, test it at scale, and begin designing new biological functions.”
A distinct yet complementary approach to AI-powered biology
AI BioDesign joins a fast-moving field. Around the world, teams are building foundation models, virtual-cell systems, lab-in-the-loop platforms, and AI-enabled discovery pipelines. AI BioDesign is designed to complement those efforts by creating an open, experimentally grounded research accelerator that produces reusable resources for the broader scientific community.
Its distinction lies in the combination of multiple modular models built from tractable biological problems; new data generated from designed biological sequences and perturbations; multiplex experiments that test many designs at once; and the open sharing of models, datasets, assays, reagents, and benchmarks.
“For me, biology is ultimately a design challenge,” said Sanjay Srivatsan, an AI BioDesign principal investigator and assistant professor at the Fred Hutch Cancer Center. “As part of AI BioDesign, our team plans to vastly scale up the number of genomic datasets available to researchers. We can then use AI to understand biological patterns in those datasets and use those patterns to inspire solutions to biological problems, such as designing cells that can remove cancer from the body.”
About Allen Institute
Allen Institute is a 501(c)(3) nonprofit medical research organization dedicated to accelerating science for a healthier world. Through large-scale, multidisciplinary research initiatives, the Institute generates foundational knowledge, data, tools, and models that are shared openly with the world to advance our understanding of life and health. Founded by Jody Allen and the late Paul G. Allen, Allen Institute is supported primarily by Fund for Science and Technology.
About the University of Washington
The University of Washington is one of the world's leading public research universities with campuses in Seattle, Bothell, and Tacoma, as well as a world-class academic health system integrating research, education, and clinical care serving Washington state and the Pacific Northwest. The UW Medicine Institute for Protein Design, led by Nobel laureate David Baker, builds new, custom-designed proteins using advanced software and AI to solve major global challenges in medicine, technology, an sustainability. The Brotman Baty Institute for Precision Medicine (BBI) is a collaborative research hub based at UW Medicine that was launched in 2017 to advance the field of precision medicine. Funded by a gift from Jeff and Susan Brotman and Dan and Pam Baty, the institute combines the resources and scientific expertise of three top-tier institutions: UW Medicine, the Fred Hutch Cancer Center, and Seattle Children's. Led by Dr. Jay Shendure, internationally renowned professor of genome science at University of Washington’s School of Medicine, BBI focuses on developing and deploying cutting-edge technology in genomics, single-cell analysis, and translational research to accelerate scientific discoveries and directly improve patient care across these premier organizations.
About Fund for Science and Technology
Launched in 2025, Fund for Science and Technology is a 501(c)(3) private foundation and part of the Paul G. Allen philanthropic ecosystem. It funds new ways for scientists and researchers to collaborate and innovate in three focus areas, including bioscience, environment, and AI-for-good. Through his estate, Paul G. Allen (d. 2018), best known as the co-founder of Microsoft and among the world’s most generous philanthropists, directed the foundation’s formation and focus areas and provided its funding. Learn more online at www.ff-st.org.
Media Contacts
Allen Institute
Peter Kim, Associate Director, Communications and Media Relations
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Fred Hutch Cancer Center
Molly McElroy, Senior Communications Manager
mwmcelro@fredhutch.org
UW Medicine (University of Washington)
Susan Gregg, Media Relations Director
sghanson@uw.edu
Fund for Science and Technology
Sophie Ey, Vice President, We Communications sey@wecommunications.com