This track focuses on the theoretical underpinnings of mathematical modeling in systems biology. It aims to explore the mathematical frameworks that facilitate the understanding of complex biological systems.

This session will delve into computational methods used to model and analyze gene regulatory networks. Participants are encouraged to present innovative algorithms and simulations that enhance our understanding of gene interactions.

This track will address the mathematical modeling of metabolic pathways, emphasizing both established techniques and novel applications. Contributions that showcase the integration of experimental data with computational models are particularly welcome.

This session will explore the dynamics of cellular processes through mathematical modeling and simulation. Discussions will include the use of differential equations and agent-based models to capture cellular behavior.

This track focuses on the application of statistical methods in quantitative biology. Participants are invited to share their insights on biostatistical techniques that enhance the analysis of biological data.

This session will investigate the role of network modeling in understanding biological systems. Topics may include the analysis of interaction networks and the application of graph theory in biological contexts.