Medicine and underlying biology is now becoming a data-driven science where large amounts of structured and unstructured data related to biological systems and human health is being generated. For instance, fundamental advancements in DNA sequencing technology have enabled researchers to read the entire human genome at high resolution and affordable cost. This coupled with advances in data sciences and compute power now allows one to interrogate the disease at a molecular and genetic level, there by creating path for personalized medicine – tailoring treatments not just based on symptoms but also based on individual’s genetic make-up. In this talk, I will provide an overview of this upcoming field of genomics and discuss problems where machine learning and data science approaches can prove to be beneficial. Some of the real case studies in medical diagnostics and drug discovery where machine learning has been useful will be discussed.