what we do
Our team develops computational methods to study biological networks in living cells. We use mathematics to understand natural networks and to design novel systems for Biotechnology and Healthcare. In our research 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 MSc students, PhD candidates and postdocs. Together we gather expertise in many disciplines like engineering, mathematics, biology 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.
Our work is or has been financially supported by the Human Frontier Science Program, the Wellcome Trust, Cancer Research UK and the European Union.
|17 May 2019||Research Outreach published a very nice broad audience piece on our work.|
|7 May 2019||New preprint reporting Evangelos’ work on modelling host-circuit interactions in Synthetic Biology.|
|2 Apr 2019||New preprint on how bacteria speed up their metabolic recovery. Great collaboration with Fuzhong Zhang’s lab at U Washington in St Louis.|
|30 Mar 2019||Mona gave a great talk at the CompSysBio 2019 in the French Alps|
|5 Mar 2019||Mona’s paper on metabolic heterogeneity appeared in Comms Biology|
|15 Feb 2019||We welcome Kostas, Arran and Tianshan who will join us for the summer MSc projects|