The Haase Group combines experimental and computational means to understand the complex processes of vascular development and remodeling in human tissue-specific models. Computational fluid dynamics simulations are paired with particle velocimetry experiments in our tissue-engineered microvessels in order to predict how fluid mechanics dictates microvascular network behavior. We aim to control network development by tuning fluidic, cellular and external microenvironmental parameters. We also employ deep learning approaches to enable more accurate segmentation of our complex 3D vascular images and aim to use these approaches for early-prediction of pro- and anti-angiogenic remodeling in difficult-to-label tissues. Collaborations with partners working on computational models of angiogenesis, vasculogenesis (development of vascular networks), dynamic remodeling, and endothelial-stromal cell interactions are all welcome.