Dr. Nicholas Tatonetti is associate professor of biomedical informatics in the Departments of Biomedical Informatics, Systems Biology, and Medicine and is Director of Clinical Informatics at the Institute for Genomic Medicine and the Herbert Irviing Comprehensive Cancer Center at Columbia University. He received his PhD from Stanford University where he focused on the development of novel statistical and computational methods for observational data mining. He applied these methods to drug safety surveillance and the discovery of dangerous adverse drug effects and has identified and validated previously unknown serious drug-drug interactions. His lab at Columbia is focused on using massive-scale real clinical and molecular data for making robust and validated scientific discoveries, with a particular focus on detecting, explaining, and validating drug effects and drug interactions. Dr. Tatonetti has published over 100 peer-reviewed scientific publications across medicine, systems biology, machine learning, and bioinformatics. He is passionate about the integration of real-world data (such as those stored in the electronic health records) and high-dimensional biological data (captured using next-generation sequencing, high-throughput screening, and other “omics” technologies) to reimagine and rescale the scientific method.