Computational Biology & AI
Advanced machine learning algorithms and computational models to predict biological behaviour, optimise genetic circuits, and accelerate the design process for synthetic biological systems.
Our multidisciplinary research approach combines molecular biology, computational sciences, and engineering to develop next-generation biotechnologies.
Advanced machine learning algorithms and computational models to predict biological behaviour, optimise genetic circuits, and accelerate the design process for synthetic biological systems.
Systematic redesign of cellular metabolism to produce valuable compounds and enhance organism performance.
Directed evolution and rational design approaches to create proteins with enhanced or novel functionalities.
Development of containment systems and safety mechanisms for synthetic biological applications.
Research into fail-safe mechanisms and biological containment strategies for synthetic organisms.
We follow rigorous scientific methodologies to ensure reproducible, reliable, and impactful research outcomes.
We identify research opportunities through literature analysis, industry needs assessment, and collaborative discussions with partners to formulate testable hypotheses that address real-world challenges.
Our team designs comprehensive experimental protocols using statistical analysis and controls to ensure robust data collection and meaningful results that advance scientific understanding.
We conduct systematic experiments using state-of-the-art equipment and techniques, maintaining detailed documentation and following strict quality control procedures throughout the research process.
Research findings are thoroughly analysed and translated into practical applications, with results published in peer-reviewed journals and integrated into our commercial solution development pipeline.
We work with industry partners and academic institutions to translate research discoveries into viable commercial applications that benefit society and advance the synthetic biology field.