In this series of papers we present an emulator-based halo model for the non-linear clustering of galaxies in modified gravity cosmologies. In the first paper, we present emulators for the following halo properties: the halo mass function, concentration-mass relation and halo-matter cross-correlation function. The emulators are trained on data extracted from the and suites of -body simulations, respectively for two modified gravity (MG) theories: gravity and the DGP model, varying three standard cosmological parameters , and one MG parameter, either or . Our halo property emulators achieve an accuracy of on independent test data sets. We demonstrate that the emulators can be combined with a galaxy-halo connection prescription to accurately predict the galaxy-galaxy and galaxy-matter correlation functions using the halo model framework.

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