I study single-cell physiology, with a special interest in metabolism. Using a combination of microfluidics and time-lapse microscopy, I investigate how individual microbes grow and interact in a controlled environment. In order to quantify this behavior, I develop specialized image analysis software.


  • 2011-present: ETH Postdoctoral Fellow at ETH Zurich with Prof. Martin Ackermann.
  • 2004-2010: PhD at Delft University with Prof. Sander Tans.
  • 2003: GDip in Information Technology at Australian National University, Canberra.
  • 1998-2002: BSc and MSc in Chemistry at University of Amsterdam.


  • T Bergmiller, A Andersson, K Tomasek, E Balleza, Daniel Kiviet, R Hauschild, G Tkačik & C Guet (2017) Biased partitioning of the multidrug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity. Science 356:311
  • Daniel Kiviet*, P Nghe*, N Walker, S Boulineau, V Sunderlikova & S Tans (2014) Stochasticity of metabolism and growth at the single-cell level. Nature 514:376
  • S Boulineau, F Tostevin, Daniel Kiviet, PR ten Wolde, P Nghe & S Tans (2013) Single-Cell Dynamics Reveals Sustained Growth during Diauxic Shifts. PloS one 8:e61686
  • F Poelwijk, S Tanase-Nicola, Daniel Kiviet & S Tans (2011) Reciprocal sign epistasis is a necessary condition for multi-peaked fitness landscapes. J Theor Biol 272:141-144
  • F Poelwijk, P Heijning, M de Vos, Daniel Kiviet & S Tans (2011) Optimality and the evolution of transcriptionally regulated gene expression. BMC Syst Biol 5:128
  • A Dawid, Daniel Kiviet, M Kogenaru, M de Vos & S Tans (2010) Multiple peaks and reciprocal sign epistasis in an empirically determined genotype-phenotype landscape. Chaos 2:026105
  • F Poelwijk*, Daniel Kiviet*, D Weinreich & S Tans (2007) Empirical fitness landscapes reveal accessible evolutionary paths. Nature 445:383-386
  • F Poelwijk*, Daniel Kiviet* & S Tans (2006) Evolutionary potential of a duplicated repressor-operator pair: simulating pathways using mutation data PLoS Comp Biol 2:e58