Tracking Bacterial Growth Using a Nonlocal Interfacial Model

Explore bacterial colony formation through a nonlocal interfacial modeling approach in this 36-minute conference talk by Scott McCalla from Montana State University, Bozeman. Delve into biological pattern formation mechanisms beyond traditional reaction-diffusion and agent-based models, with particular focus on arrested fronts in bacterial growth. Discover how nonlocal pattern forming mechanisms can provide new insights into bacterial colony development and learn about a novel nonlocal framework for understanding interfacial motion in biological systems. Examine the application of this theoretical approach to model real experimental observations of bacterial phenomena, bridging mathematical modeling with biological research. The presentation was delivered at IPAM's Sampling, Inference, and Data-Driven Physical Modeling in Scientific Machine Learning Workshop, offering valuable perspectives for researchers working at the intersection of mathematical biology, pattern formation, and scientific machine learning.