Mathematical Modelling in Disease and Therapy: Integrating Quantitative Frameworks for Deeper Insights

Organizers:

Maria Kleshnina (Queensland University of Technology), Mason Lacy (Queensland University of Technology), Luke Filippini (Queensland University of Technology)

Description:

Mathematical modelling plays a crucial role in advancing our understanding of disease dynamics and optimizing therapeutic strategies. This mini symposium brings together innovative approaches that integrate mathematical frameworks with experimental and clinical data to inform disease modelling and therapy design. The talks will explore how stochastic and continuum models can capture complex cellular behaviours, from immune cell expansion in cancer therapy to anisotropic movement in brain tissue. Algebraic and game-theoretic methods will provide insights into treatment resistance and optimal intervention strategies, while data-driven Boolean network models will shed light on cancer progression at the single-cell level. By combining mathematical techniques with cutting-edge biological data, this symposium will highlight how quantitative approaches can uncover fundamental mechanisms of disease and guide more effective treatment strategies.

Diversity Statement:

This mini symposium promotes diversity in mathematical sciences by featuring early career researchers, including two first-year PhD students and a postdoctoral researcher, three of whom are women. Organized by a mid-career female academic and two ECRs, it supports representation, mentorship, and collaboration. We are committed to making this symposium a constructive, engaging and accessible space for all participants, fostering a more inclusive research environment.