These are enormously important yet complex questions, and answering them will require both the production of large amounts of carefully designed experimental data and the development of new methodologies for interpreting these data. High-throughput experimental protocols are allowing massive biological and medical data sets to be produced at an unprecedented rate. These data are a treasure trove of information, which can shed enormous insight on these key questions. But the potential of these data sets will only be fully tapped via the development of powerful computational tools. At Calico, we are building a world-class team of scientists with diverse backgrounds and expertise that extends from biology and medicine on the one hand to machine learning and informatics on the other. Together, we work to tackle these important questions. The in-house capabilities and external collaborations that we have assembled allow large amounts of highly relevant data to be produced. Our computational scientists work in partnership with our colleagues in the biomedical sciences to design experiments, to develop new analytical techniques that build on and extend state-of-the-art methods in computer science and machine learning, and to use these methods to derive novel insights and design effective interventions. Our growing team aims to innovate in computational science and machine learning while also tackling one of the most important scientific questions and making a significant impact on human health.