2025-10-03 –, Coffee room
Language: English
Learn how to perform practical identifiability and predictability analysis in Julia. This talk showcases how LikelihoodProfiler.jl fits into the model calibration workflow, integrates with the SciML ecosystem, and leverages Julia's parallel computing features. A Systems Biology model will be used to illustrate the analysis and demonstrate the overall workflow.
This talk presents recent features of LikelihoodProfiler.jl, a Julia package for practical identifiability and uncertainty analysis in parameterized models. We walk through a modeling example from Systems Biology that highlights how the profile likelihood approach can assess both parameter identifiability and model predictability. We also demonstrate the variety of profiling methods, their compatibility with SciML interfaces, support for the PEtab format, and parallel execution. The goal is to show how LikelihoodProfiler.jl fits into model calibration workflows.
Ivan Borisov is a software developer at InSysBio CY. His work focuses on the development and enhancement of mathematical and computational methods in Systems Biology and Quantitative Systems Pharmacology.