Drug discovery is a costly, time taking and risky task at the same time we have done great advancement in compute power and resources.  Machine Learning can bring both worlds together by learning Protein, molecule, and drug discovery process to de-risk and make it scalable. Target identification and validation, de novo design of molecule and developing biomarkers leading to precision medicine are three pillars of drug discovery.  In this talk, we will go through them and explore the use of Machine learning to develop better insights.  We will explore how computing and machine learning has potential to change the very face of drug discovery.