University of Bristol, School of Engineering Mathematics and Technology

AI-aided biodesign platforms for
programming biological systems

We develop software, data, and automation workflows to engineer organisms with novel capabilities, from more nutritious and resilient crops to microbiome therapeutics.

Developing, Researching, and Architecting Genetic and GenOmic Networks

Infrastructure is at the core

A software ecosystem for the DBTL cycle

We build open source software, standards-enabled metadata, and FAIR data workflows so that biological engineering can become more reproducible, collaborative, and programmable.

DBTL Cycle

Select a workflow stage or the infrastructure core to reveal more information.

DesignBuildTestLearn

Engineering organisms with useful capabilities

Resilient crops

Biodesign workflows for more nutritious, robust, and sustainable plant systems.

Microbiome therapeutics

Programmable living systems that can sense, respond, and support healthier communities.

Reusable infrastructure

Open tools and standards that make biological engineering easier to reproduce and extend.

Recent outputs

Join / Collaborate

Build open AI-aided biodesign platforms with us

We welcome prospective students, postdocs, collaborators, funders, open-source contributors, and technically curious partners interested in programmable biological systems.