Max de Rooij
I’m a PhD candidate in systems biology for metabolic disease at the Department of Biomedical Engineering at Eindhoven University of Technology. I am working on model personalisation with scientific machine learning.
Sessions
Computational models are a valuable tool to study dynamic interactions and the evolution of systems behavior. Our hands-on and interactive workshop will demonstrate how personalized models can be more rapidly generated in Julia using various SciML packages combined with custom implementations. We will cover the implementation of ODE models in Julia, parameter estimation and model selection strategies including parameter sensitivity and identifiability analysis.
To improve our understanding of biological processes, dynamic models are built that describe the human blood glucose after a meal. However, these models are typically built based on population averages and therefore cannot capture the full scope of individual dynamics. Using SciML to incorporate machine learning techniques into these models, we aim to improve model personalisability.
Biological systems often include complicated combinations of positive and negative feedback control. Recovering this control network is often difficult, because of both limitations in biological knowledge and available data. In this poster, we present the use of SciML's universal differential equation framework, uniquely available in Julia, for uncovering and personalising mathematical equations for biological modulation points and mechanisms.
In the proposed panel for the Julia Conference, titled "Empowering Life Sciences with Julia," we aim to highlight the significant impact of the Julia programming language in advancing life sciences, encompassing fields like chemistry, physics, and biology. The panel will explore Julia's capabilities in handling complex computations, facilitating interdisciplinary research, and its application in data analysis, visualization, machine learning, and AI.