Background and purpose Our purpose is to devise mathematical models that can serve as synergistic complements to experimental and clinical studies and deepen the current knowledge of oc-ular physiology in health and disease. One of the main challenges in developing a mathematical description of ocular physiology stems from the inherent multiscale nature of life in time and space. For example, the time scales of cellular biochemical reactions, cardiac cycle, circadian rhythm, and aging di er by several orders of magnitude , and yet they all matter when studying diseases such as glaucoma. Similarly, the length scales of ion channels, cells, tissues, and organs span from nanometers to centimeters, and yet they all interact to determine our bodily functions. In this article, we highlight two recent contributions towards the multiscale mod-eling of ocular physiology that our group presented at the Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO,-May, , Bal-timore, MD, USA). The first contribution presents a Mathematical Virtual Simulator (MVS), henceforth indicated as model M , to simulate the biomechanics and the tissue perfusion of the lamina cribrosa (LC). Model M may serve as a computational tool to visualize hemodynamic and biomechanic parameters in the LC, such as LC displacement , blood flow velocity and pressure, and predict their spatial and temporal variability. The aim of model M is to leverage partial data available on some parts of the eye (e.g., blood velocity in the central retinal vessels and ocular geometry) to provide further information on other parts of the eye that are very important from a clinical viewpoint but that may not be easily accessible with standard investigation instruments.