BioMediTech Research Groups

Laboratory of Biosystem Dynamics (LBD)

Group Leader: Professor Andre S. Ribeiro


About Us

The Laboratory of Biosystem Dynamics (LBD), led by Prof. Andre S. Ribeiro, opened at Tampere University of Technology (TUT) in 2009. In 2017, it joined the new BioMediTech-TUT institute. The LBD is multi-disciplinary, with members with backgrounds that include e.g. physics, computational and theoretical biology, molecular biology, biotechnology, and signal processing. The LBD is also the leading member of the MultiBAM research community of TUT-UTA.

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Research interests and expertise

The LBD studies the in vivo dynamics of bacterial gene expression and genetic circuits at the single-cell, single-molecule level using time-lapse microscopy, flow cytometry, stochastic modelling, single-cell signal processing, synthetic gene engineering, etc. This research aims to understand how genes and circuits are regulated and their range of functionalities, including information processing capacity, to assist in the comprehensive engineering of synthetic gene circuits for regulating cellular processes.


  • In the last 5 years, the LBD published 47 articles in peer-reviewed journals (mean IF ~3.5).
  • Cited 1524 times, h-index 21, i10-index 42 (Google Scholar).
  • Since 2008, the LBD obtained ~4.7 M€ for scientific projects and 36 grants for PhD studies.
  • 6 awards for scientific achievements from TUT, 2 awards from international conferences, and 1 award for best PhD thesis of the year from TUT.


We have offices and laboratory space specialized in single-cell biology that allow us to combine empirical and theoretical methods to address our research questions in single-cell biology, usually in fields of molecular biology and biophysics.

Collaboration offer and requests

The LBD is always interested in collaborating in research in various topics, including its own, using theoretical and/or empirical approaches. We value collaborations both supporting our projects as well as when we support others’ projects. We most value collaborations where each collaborator brings additional knowledge and techniques to address the questions.

Major Publications

  1. Ribeiro AS, Zhu R, Kauffman SA. (2006) J Comp Biol 13(9), 1630-1639.
  2. Rajala T et al. (2010) PLoS Computational Biology 6(3): e1000704.
  3. Mäkelä J et al. (2013) Nucleic Acids Res 41(13):6544-52.
  4. Gupta A et al. (2014) Biophysical Journal, 106(9), 1928–1937.
  5. Kandavalli VK et al. (2016) BBA Gene Regulatory Mechanisms 1859, 1281–1288.
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