Welcome to the Generative Biology Institute:
Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity.
The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more.
The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the-art facility will include more than 40,000 m² of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT’s Humane Endeavours.
We are seeking ambitious, creative, and highly skilled Postdoctoral Researchers to join the Rehm Lab at GBI. The Rehm Lab, led by Principal Investigator Fabian Rehm, is building next-generation platforms for continuous evolution. We engineer orthogonal replication systems that drive rapid, targeted gene evolution while preserving host viability, enabling us to study fundamental evolutionary processes and develop new molecular solutions for problems in the areas of health and sustainability. We are growing a diverse, ambitious team excited by the idea of harnessing evolution as an engine for discovery and innovation.
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Engineering dynamic, autonomous evolution systems to rapidly traverse evolutionary landscapes
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Evolution of complex, multi-gene phenotypes
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Engineering plug-and-play selection systems for continuous evolution of diverse phenotypes
Learn more at https://rehm.bio/