We are interested in a fundamental question in life sciences: How do cells make decisions?

To answer this question we have developed a framework that combines single-cell microscopy, genetic manipulation, and mathematical modeling. We have used this framework to determine principles that govern cell fate decisions in budding yeast.

This approach makes it possible to study cellular signaling and decision making with very high precision in real time, allowing us to use quantitative measurements to gain qualitative insights into how cell networks execute decisions.

Our main model organism is budding yeast, but we are also interested in other systems


Graduate School
Other (2010), Bioengineering

Research Interest

  • single cell imaging
  • systems biology


Featured Publications LegendFeatured Publications

Compartmentalization of a bistable switch enables memory to cross a feedback-driven transition.
Doncic A, Atay O, Valk E, Grande A, Bush A, Vasen G, Colman-Lerner A, Loog M, Skotheim JM Cell 2015 Mar 160 6 1182-95
Feedforward regulation ensures stability and rapid reversibility of a cellular state.
Doncic A, Skotheim JM Mol. Cell 2013 Jun 50 6 856-68
An algorithm to automate yeast segmentation and tracking.
Doncic A, Eser U, Atay O, Skotheim JM PLoS ONE 2013 8 3 e57970
Distinct interactions select and maintain a specific cell fate.
Doncic A, Falleur-Fettig M, Skotheim JM Mol. Cell 2011 Aug 43 4 528-39