Assoc Prof Pascal Buenzli

  • Assoc Prof Pascal Buenzli

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Senior Lecturer, School of Mathematical Sciences

PhD (Ecole Polytechnique Federale de Lausanne), MSc (Dipl. Phys. ETH) (Swiss Federal Institute of Technology (Zurich))

Dr Pascal Buenzli is an Associate Professor in Mathematical Biology at the School of Mathematical Sciences at QUT, and a former ARC DECRA Fellow 2013–2017.                                                                                                                                                                                                                                                                                                                            Academic experience

  • 2024–: Associate Professor in Mathematical Biology, School of Mathematical Sciences, QUT
  • 2020–2024: Senior Lecturer in Mathematical Biology, School of Mathematical Sciences, QUT
  • 2017–2020: Lecturer in Mathematical Biology, School of Mathematical Sciences, QUT
  • 2013–2017: ARC DECRA Fellow
  • 2013–2017: Lecturer, School of Mathematical Sciences, Monash University
  • 2009–2013: Research Assistant Professor, Engineering Computational Biology Group, The University of Western Australia
  • 2007–2008: Postdoctoral Research Associate, Theoretical Physics, Universidad de Chile, Santiago, Chile

Education

  • PhD in Theoretical Physics (with distinction), Swiss Federal Institute of Technology Lausanne (EPFL)
  • MSc/Dipl. Phys. ETH, Swiss Federal Institute of Technology Zürich (ETHZ)

Additional information

Experience

Research Interests

See the Mathematics in Medicine group webpage (Tissue growth and Biomedical engineering) for more details.

  • mathematical biology
  • mechanobiology
  • biological physics
  • complex systems
  • stochastic processes
  • statistical mechanics and fluctuation-induced phenomena

Research Statement My research is in mathematical modelling of biological tissue growth and remodelling. Such biological systems are subjected to mechanistic processes related to geometric constraints, mechanics, and mass balance that are well adapted to be captured by mathematical models. It is essential that we understand quantitatively the involvement of these mechanistic processes in observed experimental data to be able to interpret these data correctly. By factoring out these mechanistic processes, we gain access to less mechanistic, cell behavioural quantities that are highly relevant to biologists.

Current Supervisions