Research area

Mechanistic and Synthetic Biology

We use quantitative and engineered biological interactions to understand and control biological information processing.

Flagship project

Transcription-factor decoys

TF decoys are short ds DNA sequences that can act like a sponge to soak up free transcription factors in the cell and divert them from their native binding site. This can be harnessed to alter the protein expression and regulate immunological pathways.In this project, DNA nanostructures are designed to present binding sites and modulate transcription-factor availability. We investigate how DNA architecture can influence transcription-factor binding, function and regulation.

Flagship project

Protein–oligonucleotide signal exchange

Molecular interfaces that convert protein interactions into programmable nucleic-acid signals. This research aims to enhance the functionality of synthetic DNA in diagnostics and therapeutics, enabling innovative strategies to address significant health challenges.

Flagship project

Cell-Free TXTL-Based Platform for Early Detection of Infection

This study presents a paper-based cell-free transcription–translation (TXTL) platform for rapid and specific detection of viral RNA. The platform integrates nucleic acid amplification with programmable toehold switch-based RNA sensing, enabling target recognition and subsequent reporter expression through a cell-free genetic circuit. This low-cost, portable and scalable platform facilitates decentralized molecular diagnostics and point-of-care applications, particularly in resource-limited areas.

How we work

Approach

Projects integrate mathematical formulation, molecular design, simulation and experimental characterisation.

01

Design

Define the intended molecular function and interaction architecture.

02

Model

Translate reaction mechanisms into quantitative or logical representations.

03

Build

Implement the design using appropriate biomolecular components.

04

Characterise

Measure response, specificity, dynamics and robustness.

Explore Our Research Areas

AI & Physiological Data Disease Modelling Medical Devices Synthetic Biology
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Interested in working at the intersection of mechanistic biology, molecular engineering and quantitative modelling? Explore current opportunities to join our research team.

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