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Michael Wagner, PhD

Faculty Liaison, Biomedical Informatics Core

Academic Affiliations

Associate Professor, UC Department of Pediatrics

Phone 513-636-2935

Fax 513-636-2056

Email michael.wagner@cchmc.org

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Clinical & Research Interests

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Clinical

Large-scale optimization; applications in bioinformatics

Research

Biography

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Dr. Wagner has a long-standing interest in applications of machine learning techniques to bioinformatics problems such as protein structure prediction, disease classification and protein identification. He is also involved in a number of projects that implement complex software and data infrastructure. For example, he is co-principal investigator on the Longitudinal Pediatric Data Resource (LPDR) project funded through the Newborn Screening Translational Research Network (NBSTRN). The LPDR will be used by researchers nationwide to mine health outcome data over the lifespan of children who screen positive for a large number of rare and often devastating genetic disorders.

Dr. Wagner is also overseeing the development of genomic data management and analysis tools both for the Center for Pediatric Genomics (CpG) at Cincinnati Children's and in his role as director of the Rheumatic Disease Research Informatics Core of the Cincinnati Rheumatic Diseases Core Center, which is funded by the National Institute of Arthritis and Musculoskeletal and Skin Diseases.

Education and Training

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Dipl. Wi-Ing.: Universitaet Karlsruhe, Germany, 1995.

MS: Operations Research, Cornell University, Ithaca, NY, 1998.

PhD: Operations Research, Cornell University, Ithaca, NY, 2000.

Publications

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Watson J, Kinstler A, Vidonish WP 3rd, Wagner M, Lin L, et al. Impact of Noise on Nurses in Pediatric Intensive Care Units. Am J Crit Care. 2015;24(5):377-84.

Biesiada J, Chidambaran V, Wagner M, Zhang X, Martin LJ, et al. Genetic risk signatures of opioid-induced respiratory depression following pediatric tonsillectomy. Pharmacogenomics. 2014;15(14):1749-1762.

Patel ZH, Kottyan LC, Lazaro S, Williams MS, Ledbetter DH, et al. The struggle to find reliable results in exome sequencing data: filtering out Mendelian errors. Frontiers in genetics. 2014;5:16.

Morrow AL, Lagomarcino AJ, Schibler KR, Taft DH, Yu Z, et al. Early microbial and metabolomic signatures predict later onset of necrotizing enterocolitis in preterm infants. Microbiome. 2013;1(1):13.

Namjou B, Keddache M, Marsolo K, Wagner M, Lingren T, et al. EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children. Frontiers in genetics. 2013;4:268.

Thompson SD, Marion MC, Sudman M, Ryan M, Tsoras M, et al. Genome-wide association analysis of juvenile idiopathic arthritis identifies a new susceptibility locus at chromosomal region 3q13. Arthritis and rheumatism. 2012;64(8):2781-91.

Huang SH, Mo D, Meller J, Wagner M. Identifying a small set of marker genes using minimum expected cost of misclassification. Artificial intelligence in medicine. 2012;55(1):51-9.

Biesiada J, Sadhasivam S, Wagner M, Meller J. From SNP Genotyping to Improved Pediatric Healthcare. Pediatric Biomedical Informatics: Computer Applications in Pediatric Research. Hutton JJ, editor. New York:Springer;2012.

Kouril M, Hunt N, Wagner M. Data Storage and Access Management. Pediatric Biomedical Informatics: Computer Applications in Pediatric Research. Hutton JJ, editor. New York:Springer;2012.

Phatak M, Adamczak R, Cao B, Wagner M, Meller J. Solvent and lipid accessibility prediction as a basis for model quality assessment in soluble and membrane proteins. Current protein & peptide science. 2011;12(6):563-73.