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Public Biography
Dr. Nicholas Tatonetti is Professor and 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. They received a PhD from Stanford University where they focused on the development of novel statistical and computational methods for observational data mining. Over the past 14 years, Dr. Tatonetti has 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. Their lab at Cedars-Sinai 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 150 peer-reviewed scientific publications across medicine, systems biology, machine learning, and bioinformatics. Dr. Tatonetti 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.

Historic ACMI Biography

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Dr. Tatonetti pioneered the use of electronic health records for translational bioinformatics research. His integrative approach combines multiple modalities of clinical and biomedical data with prospective experiments, producing important discoveries of adverse drug effects and drug-drug interactions (e.g., ceftriaxone and lansoprazole), and new ways to measure heritability.

Affiliations

The American College of Medical Informatics

ACMI is a college of elected Fellows from the U.S. and abroad who have made significant and sustained contributions to the field of medical informatics. It is the central body for a community of scholars and practitioners who are committed to advancing the informatics field.

Year Elected
2020
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