Equipped with modern numerical and simulation techniques, computer experiments have become prevalent in many engineering and scientific applications. This talk will report some recent advances in data integration, modeling and design strategies for computer experiments. It will cover statistical synthesis of data from different computer models and the construction of stochastic process models for both quantitative and qualitative factors. The modeling problems also lead to the development of some novel space-filling designs.