Nicholas Tatonetti is Vice Chair of Operations in the Department of Computational Biomedicine and Associate Director of Computational Oncology in the Cancer Center at Cedars-Sinai Medical Center. He earned his PhD from Stanford University, where he specialized in developing statistical and computational methods for mining observational data. Over the last 14 years, he has applied these methods to drug safety surveillance, identifying previously unknown serious drug-drug interactions, and discovering dangerous adverse drug effects.
At Cedars-Sinai, Tatonetti’s lab uses massive-scale real clinical and molecular data to make robust and validated scientific discoveries, with a specific focus on detecting, explaining, and validating drug effects and drug interactions. He has published over 180 peer-reviewed scientific publications in medicine, systems biology, machine learning, and bioinformatics. He is passionate about integrating real-world data, such as 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.