This talk explores the space of computational biology and AI technologies within personalized drug discovery. There has been rapid growth in this space which holds great promise for advances in medical discoveries and healthy longevity. We will cover the various areas of work in this growing space in science and technology and drill into building analytics and AI platforms for personalized health and drug discovery using large- scale data. We will discuss large-scale genomic and phenotypic data sources as well as other emerging and new data sources, genomic analysis pipelines such as genome wide association study (GWAS), and production machine learning services, which power direct-to- consumer and therapeutics products. We will explore how the growth of data sources, compute, and algorithms will play an increasingly important role in the future of medicine.