The Computational Metabolic Engineering research group uses model-driven analysis of experimental data to understand, predict and engineer metabolism, for planetary health through sustainable microbial cell factories and for human health through precision medicine.
Software for genome-scale and resource allocation models, so predicted fluxes respect what the cell can afford to make.
Transcriptomics and proteomics interpreted through enzyme-constrained models to explain a phenotype.
Model-guided engineering of microbes, mainly Yarrowia lipolytica, for sustainable chemicals.
Human genome-scale models combined with patient and single-cell data for precision medicine.
Turns a genome-scale model into an enzyme-constrained model, using kinetic and proteomics data.
Ten most recent, from Europe PMC, Crossref and bioRxiv, 29 October 2026. Preprints are only listed until they appear in a journal.
We're always happy to hear from people who share our interest in metabolism, modelling and engineering. A few things are useful to know before you get in touch.
Please note that we don't take on Master's thesis projects shorter than one semester (5 to 6 months).
All open positions are advertised on the Chalmers vacancies page. Apply there; no listing means no open position.
These restrictions don't apply to short visits by PhD students and postdocs, or to collaborations. Get in touch.
