PhD Student Symposium: Data-Driven Modelling in Mathematical Biology

Dates: 28 June – 9 July 2021
Website: https://modellingwithdata.com/

Mathematical biology is a diverse, cross-disciplinary area of research at the interface of applied mathematics, statistics, biophysics and experimental science. Cross-collaboration between experts in these fields is quickly becoming requisite for impactful research.

This online symposium will foster new collaborations and skill development across each of these fields through talks, lectorials in model calibration, and most importantly, data-driven collaborative projects. These elements will bring together experts in deterministic and stochastic modelling, theoretical analysis (for example, travelling wave analysis), experimental science, model calibration, and statistics. The symposium will conclude with participants presenting results from their group projects.

An introduction to connecting mathematical models with experimental data including: two lectorials, three keynote speakers, and group projects to allow participants to apply the techniques and ideas from lectorials and keynote speakers to suggested problems.

There will be three key themes aligned with the keynote speakers research interests (subject to change).

• Drug Therapy – Adrianna Jenner (Queensland University of Technology)
• Collective Migration – Douglas Brumley (University of Melbourne)
• Infectious Diseases – Rebecca Chisholm (LaTrobe University)

Organisers:
Alexander Browning (Queensland University of Technology)
Maud El-Hachem (Queensland University of Technology)
Ryan John Murphy (Queensland University of Technology)