Intracranial aneurysms can rupture, leading to hemorrhagic stroke, a devastating and deadly disease. The geometry of vessels plays a crucial role in the onset and molecular pathophysiology of intracranial aneurysm formation. Notably, regions of bifurcation tend to be more susceptible to aneurysm formation. Numerous studies focus solely on the interactions between hemodynamics and vascular geometry or those between hemodynamics and molecular expression changes. Despite the significant relationship between the structure of vessels and the endothelial cell (EC) molecular expression, there has been few investigations tying the relationship between how vascular geometry affects the EC expression, particularly genes known to be related to EC pathological response: ADAMTS-1, VCAM-1, MCP-1, PDGF-B. These genes are implicated in endothelial dysfunction and aneurysm pathophysiology. Here, we aim to see how the geometry of the parent vessel affects endothelial gene expression, using 3D-printed, endothelialized, idealized bifurcation aneurysm models of varying degrees of parent vessel curvature. We then quantify the mRNA and protein expression for the genes associated with endothelial response. By elucidating the relationship between the vessel geometry and EC expression, we hope to contribute in further advancing the modeling of aneurysm pathology.