Grier Page is a senior fellow and senior director of statistical genetics and artificial intelligence in RTI’s GenOmics, Bioinformatics and Translational Research Center. Dr. Page’s research delves into the application of artificial intelligence and machine learning to address data handling and statistical analysis. He leads the National Science Foundation grant “Application of Sequential Inductive Transfer Learning for Experimental Metadata Normalization to Enable Rapid Integrative Analysis.” In addition, Dr. Page’s genetic applied work focuses on diverse populations. He has led several large multi-center studies that developed and implemented protocols, analyzed, and disseminated data from multicenter studies like the stillbirth network, neonatal network, LungMap, REDS-III, and Environmental Children’s Health Outcome (ECHO).
Dr. Page has developed methods for analyzing linkage and association data and microarray, proteomic, and next-generation sequencing methods. Currently, Dr. Page develops methods to analyze multi-omics data and functional interpretation of omics data. He has also developed numerous bioinformatics tools to implement projects like PowerAtlas, HDBStat!, CressExpress (www.cressexpress.org), and, more recently, LungMAP (LungMap.net) and ECHO (EchoPortal.org) and AI-based MetaMatchMaker.com.
