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Blaine Reeder

Dr. Reeder received his PhD in Biomedical and Health Informatics from the University of Washington School of Medicine in 2010, followed by a postdoctoral fellowship at the University of Washington School of Medicine. Prior to his academic career, he was a software engineer and technology consulting entrepreneur.

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Grant Scott

Grant Scott is an assistant research professor in the Center for Geospatial Intelligence (CGI) and the Electrical Engineering and Computer Science Department at the University of Missouri. He is also an adjunct assistant professor in the Computer Science Department. The CGI is an interdisciplinary center that focuses on geospatial intelligence needs critical for national security,

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Christine Elsik

Christine Elsik’s research expertise is in computational biology and bioinformatics, and she works specifically in genome sequencing and annotation. She has worked extensively with genomes of cattle and a number of insect species. Chris will have a joint appointment between Animal and Plant Sciences and will be located in the Animal Science Research Center. She

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Trupti Joshi

Dr. Trupti Joshi is the Director of Translational Bioinformatics at the School of Medicine Medical Research Office and Assistant Research Professor in the Department of Molecular Microbiology and Immunology (MMI) at the University of Missouri-Columbia. She has appointments as Core Faculty with MU Informatics Institute (MUII), Interdisciplinary Plant Group (IPG) and Department of Computer Science.

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Timothy Matisziw

Dr. Tim Matisziw is an Associate Professor at University of Missouri-Columbia (MU) with a joint appointment in the Department of Geography, Department of Civil & Environmental Engineering, and MU Institute for Data Science and Informatics. He is also the Director of the United States Geospatial Intelligence Foundation (USGIF) accredited Geospatial Intelligence Certificate program (graduate and undergraduate)

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Lincoln Sheets

My research focus is on medical data analytics, data mining, clinical decision support, and electronic health records. My interests include evidence-based decision support for low-resource clinical settings, data mining in electronic health records, and predictive healthcare analytics. As a research fellow at the National Library of Medicine, I published several papers on mHealth and eHealth

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