Heavy metal and radionuclide contamination of groundwater poses water quality challenges to people at sites worldwide. Alternatively, current techniques for soil structural strengthening, e.g. artificial cementation through grouting, are energy intensive and may pose health risks from toxic chemicals. Calcite precipitation may offer a solution to both problems by immobilizing trace metals and radionuclides in groundwater and/or improving the structural properties of soils through artificially cementing the soil matrix. Bench scale experiments performed at UC Davis to study the physical, chemical, and biological aspects of the ureolytic calcite precipitation treatment process provide data that are used here to calibrate numerical models employed to interpret and predict the calcification process. This study explores the use of reactive transport modeling with TOUGHREACT and parameter estimation with the indirect model inversion program UCODE using experimental data from batch and saturated sand flow column experiments. The goal is to use experimental results to develop and calibrate a model that can be used to study the mechanisms of ureolytic calcite precipitation, and subsequently to accurately simulate treatment scenarios for both environmental and geotechnical applications.