Biography & Education
Dr. Mooney is an instuctor in the Department of Medical Informatics and Clinical Epidemiology at OHSU. His research is focused on the development of statistical and computational methods to better understand how DNA variation influences human disease. He is particularly interested in using machine learning techniques to mine integrated data sets (containing both genomic and clinical/environmental variables) with the goal of developing predictive models of disease risk and outcome.
Before joining the department, Michael worked as a staff research associate at UCLA studying the genetics of polycystic kidney disease, and later as an assistant editor at MAMM, a health magazine for breast cancer survivors.
Oregon Health & Science University
New York University
M.A. in Journalism, January 2005
Certificate in Science and Environmental Reporting, January 2005
University of California, Los Angeles
B.S. in Cybernetics, June 2001
Publications & Presentations
Mooney MA, Wilmot B, The Bipolar Genome Study, McWeeney S. The GA and the GWAS: Using Genetic Algorithms to Search for Multi-locus Associations. IEEE/ACM Transactions on Computational Biology and Bioinformatics, May-June 2012, vol. 9, no. 3, pp. 899-910.
Laderas T, Walter N, Mooney M, Vartanian K, Darakjian P, Buck K, Harrington C, Belknap J, Hitzemann R, McWeeney S. Computational Detection of Alternative Exon Usage. Frontiers in Neurogenomics, 2011, 5:69.
Bottomly D, Walter NA, Hunter JE, Darakjian P, Kawane S, Buck KJ, Searles RP, Mooney M, McWeeney SK, Hitzemann R. Evaluating gene expression in C57BL/6J and DBA/2J mouse striatum using RNA-Seq and microarrays. PLOS One, 2011 Mar 24, 6(3):e17820.
Walter NA, Bottomly D, Laderas T, Mooney MA, Darakjian P, Searles RP, Harrington CA, McWeeney SK, Hitzemann R, Buck KJ. High throughput sequencing in mice: a platform comparison identifies a preponderance of cryptic SNPs. BMC Genomics, 2009 Aug 17, 10:379.