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 Jamali Lab at the GBI. At the Jamali Lab, we are interested in developing new computational methods for the design of conformationally dynamic and functional enzymes. We will accomplish this by developing generative protein design models that capture dynamics and function, as catalysis depends on motion. Through collaborators at the Generative Biology Institute, we will continuously evolve our designs in vivo, so every generation of designs informs the next.