- Assistant Director, Center for Environmental Health Engineering, Biodesign Institute
- Associate Professor, College of Health Solutions
- Affiliated Faculty, Center for Biodiversity Outcomes, Global Institute of Sustainability and Innovation
Matthew Scotch is an associate professor of biomedical informatics in the College of Health Solutions and assistant director of the Biodesign Center for Environmental Health Engineering at Arizona State University. His research focuses genomic and molecular epidemiology to study RNA viruses with a particular interest in influenza A viruses.
Current projects include studying approaches to advance phylogeography models and geospatial metadata in virus sequence databases for virus surveillance (funding: NIH/NIAID R01AI117011) and analysis of viruses from wastewater using bioinformatics (funding: NIH/NLM 1R01LM013129).
His lab group is also interested in the molecular epidemiology of RNA viruses including the amplification and sequencing of influenza viruses for studying spread among avian and human hosts.
- MPH, Public Health, Yale University, 2007
- PhD, Biomedical Informatics, University of Pittsburgh, 2006
- MA, Biomedical Informatics, Columbia University, 2002
- BA, Health and Society, University of Rochester, 1998
Halden, R., E. Terlinden, S. Kraberger, M. Scotch, J. C. Steele and A. Varsani. 2019. Tracking harmful chemicals and pathogens using the Human Health Observatory at ASU. Online Journal of Public Health Informatics 11(1):. DOI: 10.5210/ojphi.v11i1.9843. (link )
Magee, H. Y., M. M. Maurer, A. Cobos, B. F. Pycke, A. K. Venkatesan, D. Magee, M. Scotch and R. U. Halden. 2018. U.S. nationwide reconnaissance of ten infrequently monitored antibiotics in municipal biosolids. Science of The Total Environment 643(Dec):460-467. DOI: 0.1016/j.scitotenv.2018.06.206. (link )
Macintyre, C. R., . , M. Scotch, D. J. Heslop, A. B. Gumel, G. Poste, . , W. Herche, K. Steinhofel, S. Lim and A. Broom. 2017. Converging and emerging threats to health security. Environmental Systems and Decisions DOI: 10.1007/s10669-017-9667-0. (link )
Jirjies, S., G. Wallstrom, R. U. Halden and M. Scotch. 2016. pyJacqQ: Python implementation of Jacquez’s Q-Statistics for space-time clustering of disease exposure in case-control studies. Journal of Statistical Software 74(6):. DOI: 10.18637/jss.v074.i06 . (link )