Michael Mooney Ph.D. is an assistant professor in the Division of Bioinformatics & Computational Biology, Department of Medical Informatics & 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. His recent work has focused on developing and evaluating methods for identifying genetic signatures that contribute to susceptibility to neuropsychiatric disorders. He teaches two courses in the department: Bioinformatics Programming & Scripting (BMI565) and Management & Processing of Large-scale Data (BMI535, co-taught with Christina Zheng, Ph.D.).
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.
Areas of interest
- Computational Biology
- Complex Trait Genomics
- Machine Learning