Topic: mechanistic mathematical models

Amber Smith examines immune mechanisms underlying respiratory infections using mechanistic mathematical models combined with multimodal data. Using influenza, the seminar shows how models can expose biological processes that measurements alone do not reveal, explain why similar biomarker profiles can reflect different disease states, and improve predictions of outcomes. The approach links otherwise inaccessible mechanisms to a foundation for predictive, mechanism-based precision medicine.

VIB’s Center for AI and Computational Biology and KU Leuven’s Department of Human Genetics seek a group leader and professor developing AI and mechanistic mathematical models for biological questions. Potential themes include hybrid mechanistic and deep-learning models, genome-regulation foundation models, single-cell and spatial multi-omics, protein structure and interaction networks, imaging-based models of cells and tissues, and disease digital twins. The appointment includes salary, core research funding and access to research infrastructure. Responsibilities encompass building an independ