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.
- New druggable target in multiple myeloma, 2021
- 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
- Genotype-phenotype map of an RNA-ligand complex, 2020
|17 Aug 2021||Diego was appointed Fellow of the Alan Turing Institute|
|1 Aug 2021||Denise will start an exciting new post in Strasbourg - we wish her all the best!|
|1 Jun 2021||We are organizing a minisymposium at the upcoming Dynamic Days 2021 conference in Nice, France.|
|10 May 2021||We discovered a new drug target in multiple myeloma using temporal multiomics - see news articles here and in CRUK site. Amazing collaboration with the Auner lab|
|26 Apr 2021||Preprint on molecular circuits for perfect adaptation.|