Abstract: Technologies are described related to determining conditions for the purification of proteins. In some implementations, models can be generated that predict yield and purity for various chromatographic techniques at a number of pH levels and salt concentrations. Training data used to produce the models can be obtained by running chromatography columns using stationary phase materials of different chromatographic techniques at various combinations of pH levels and salt concentrations. In additional implementations, the training data can be obtained by analyzing solutions included in a subset of wells of a multi-well plate, where the subset of wells are associated with particular salt concentrations and pH values for a particular stationary phase material. Further, the models can be used to determine optimized conditions for the purification of various proteins based on maximizing yield and purity, while minimizing cost.