The advent of high-throughput molecular technologies, and the flood of information they have produced, has forced the biomathematical community to rethink how to conceive, build, and validate mathematical models. In this talk I will demonstrate how the integration of molecular and cellular models shape geographic considerations in the mathematical modeling of malaria. The usefulness of models under this light takes on new meanings, and this broad scope requires the cooperation of scientists coming from very different intellectual traditions. This talk will also explain how an adaptive learning system named ALICE (Adaptive Learning for Interdisciplinary Collaborative Environments) is used to train scientists that approach biomathematics from multiple disciplines.