16 Sep 2024 - 20 Sep 2024
9:00 am - 5:00 pm
Matthew Simpson (Queensland University of Technology)
Ruth Baker (University of Oxford)
Oliver Maclaren (University of Auckland)
Jennifer Flegg (University of Melbourne)
A major challenge we face when applying mathematical models to understand and interpret biological phenomena is that biological data collection is not standardised and can change on a case-by-case basis. This variability has a major impact on our ability to calibrate mathematical models, giving rise to the challenge of identifiability analysis which aims to determine whether a particular set of data contains sufficient information to precisely estimate model parameters. This workshop will bring together a group of mathematical biologists who work at the interface of mathematical modelling, experimental science, and data science. The aim of the workshop is to explore and resolve parameter identifiability challenges that arise when seeking to describe various population biology phenomena across a range of biological scales. The research program will cover applications that include: populations of molecules, populations of biological cells, and human populations.
Program Structure: TBD
- Deadline: 29 February 2024
- Registration is by invitation only. If you are interested to participate in this program, please contact one of the organisers with your CV and research background.
- Arrival date: 15 September 2024
MATRIX Wine and Cheese Afternoon 17 September 2024
On the first Tuesday of each program, MATRIX provides a pre-dinner wine and cheese afternoon. Produce is locally-sourced to showcase delicacies from the region.