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Dr. Kerlavage oversees IT and biomedical informatics programs at the NCI, including omics data management and analysis, data ecosystem infrastructure, cloud computing, imaging informatics, clinical trials infrastructure, precision medicine decision support, and semantics and interoperability. He has spearheaded NCI’s efforts in open data, open software, and open science, exemplified by the NCI Cancer Cloud Resources and the Cancer Research Data Commons. Prior to joining the NCI in 2011, Dr. Kerlavage spent over 25 years in the public and private sectors as a leader in bioinformatics and genomics, including at the National Institute of Neurological Disorders and Stroke, The Institute for Genomic Research (TIGR), Celera Genomics, and Applied Biosystems / Life Technologies. Dr. Kerlavage received his PhD from UC San Diego and his BS from Penn State, both in Chemistry.
The pharmaceutical industry is applying a data science approach combined with active machine learning in various areas which include the integration of experimental work and computational modeling, automation, big data analytics, and informatics. This session will focus on pharma preparations and applications of AI and Machine Learning across drug discovery and development. Various examples will demonstrate how pharma is harnessing the opportunity of large data sets to predict and improve translation of preclinical findings to the specific human disease conditions to be evaluated in clinical studies.