Dr. Shameer Khader is a biomedical and healthcare data scientist. He uses a combination of big data, machine intelligence and bioinformatics approaches for developing personalized, precision medicine solutions. In this talk, Dr. Khader discusses three examples of how large-scale molecular and clinical data could be integrated and analyzed to develop a new approach for risk stratification, diagnoses, and therapeutic development. First, he illustrates the application of genomic data to stratify patients at risk for myocardial infarction using a genomic risk score; he then shows an example of using imaging data and machine learning algorithms to diagnose heart diseases that typically require several years or experience and diagnostic turnaround of several hours in a few seconds; finally he discusses how computational drug repositioning could an important strategy for discovering rapid therapeutic recommendations in the setting of public health crises like Nipah Virus outbreak in Kerala. Collectively, his work could improve clinical outcomes for various disease modalities and reduce the overall cost of care and optimize healthcare delivery. Computational Biologist This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx