With the expanding shortage of organ donors, there is an urgent need for the clinical translation of engineered complex tissues for artificial organs. Unfortunately, current tissue engineering technologies have not yet advanced sufficiently to support clinical translation of artificial organs. This project aims to leverage machine-intelligent algorithms in the design and improvement of 3D/4D bioprinted tissue constructs. The primary focus implements the use of metamodels and empirical data to tune the tissue microenvironment for optimizing targeted tissue functionalities. In practice, this involves automation of material choice, bioprinter parameter selection, 3D construct designs, and proliferative bioreactor properties. The end goal remains the construction of complex tissue constructs that recapitulate endogenous function of native tissue and can eventually reach clinical translation.