Computational Biology & AI
We develop machine learning algorithms and computational models that accelerate biological design. Our AI-driven approaches predict biological behaviour and optimise system performance, reducing development time and costs.
Our research programmes address fundamental challenges in synthetic biology whilst developing practical solutions for industrial applications.
We develop machine learning algorithms and computational models that accelerate biological design. Our AI-driven approaches predict biological behaviour and optimise system performance, reducing development time and costs.
Research into standardised biological parts and devices that can be combined to create complex systems. This modular approach enables rapid prototyping and reliable system assembly.
Development of biological production systems that replace traditional chemical manufacturing processes with environmentally friendly alternatives.
Understanding how engineered biological components interact within complex cellular networks to create predictable and robust synthetic biology platforms.