what we do
Our team develops computational methods to study molecular networks in living cells. We use mathematics to understand natural networks and to design novel systems for biotechnology and biomedicine. We employ a wide range of mathematical methods, such as machine learning, control theory, stochastic analysis and network theory. Large parts of our work are in collaboration with Systems and Synthetic Biology labs in the UK and abroad.
You can read more about our work in this piece.
who we are
The group lead is Diego Oyarzún and includes research students and postdocs. Together we gather expertise in many disciplines like machine learning, mathematics, biochemistry and bioinformatics.
where we work
We are very lucky to be co-located at the School of Informatics and the School of Biological Sciences of the University of Edinburgh, in one of the most vibrant and stimulating European capitals. We are members of SynthSys, the Edinburgh Centre for Synthetic and Systems Biology.
- Flux vs burden : biosensor optimization for dynamic pathway engineering, 2021
- Stabilisation of antithetic control via molecular buffering, 2021
- Opportunities at the interface of network science and metabolic modelling, 2021
- Prediction of cellular burden with host-circuit models, 2021
- Genotype-phenotype map of an RNA-ligand complex, 2020
|26 Apr 2021||Preprint on molecular circuits for perfect adaptation.|
|23 Apr 2021||Preprint on Pareto optimality and biosensor design.|
|16 Mar 2021||Welcome! Lucas Guirardel has joined us an MSc intern from Ecole Polytechnique.|
|3 Mar 2021||We sadly said farewell to Babita, who finished her postdoc with us and moved to an exciting project at Johns Hopkins.|
|12 Jan 2021||Preprint on machine learning for genotype-mapping of RNA broccoli. Great collaboration with the Kudla lab!|