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.
- Multiomics analysis of multiple myeloma response to treatment, 2021.
- Biosensor optimization for dynamic pathway engineering, 2021.
- Epigenome and phenome study reveals circulating markers pertinent to brain health, 2021
- Stabilisation of antithetic control via molecular buffering, 2021
- Genotype-phenotype map of an RNA-ligand complex, 2021
|Oct 3, 2021||We welcome Marielle Péré as visiting PhD student from INRIA and U Nice, France.|
|Oct 1, 2021||We welcome Alexandra, Charlotte, Ivan and Michal to the team.|
|Aug 17, 2021||Diego was appointed Fellow of the Alan Turing Institute|
|Aug 1, 2021||Denise will start an exciting new post in Strasbourg - we wish her all the best!|
|Jun 1, 2021||We are organizing a minisymposium at the upcoming Dynamic Days 2021 conference in Nice, France.|