what we do
Our team develops computational methods to study molecular processes 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 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 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.
|Jun 22, 2022||Lilli has been nominated for the Scottish Young Software Engineer of the Year Award, for her work on machine learning for prediction of essential genes. Amazing achievement, congrats!|
|Jun 19, 2022||Seb, Dom and Hans’ work on generative models for COVID vaccine design will be published at the Healthcare AI and COVID-19 workshop at ICML 2022.|
|Jun 9, 2022||Lilli’s paper on machine learning for prediction of essential genes will be published in the FOSBE 2022 conference in Boston.|
|Jun 6, 2022||We have launched The Science For Sustainability Hub, a unique initiative for research aimed at the UN Sustainable Development Goals.|
|Jun 1, 2022||Evangelos won a poster prize at the MOMI2022 conference in Nice, France. Congrats!|