Dr Matthew Scotch
Visiting Professorial Fellow

Dr Matthew Scotch

  • PhD. 2006. Biomedical Informatics. University of Pittsburgh, Pittsburgh, PA USA
  • MPH. 2007. Public Health. Yale University, New Haven, CT, USA
  • Postdoctoral fellowship. 2008. Biomedical Informatics. Yale University, New Haven, CT, USA
Medicine & Health
The Kirby Institute

Matthew Scotch is Visiting Professorial Fellow at the Kirby Institute at UNSW. He is also Interim Assistant Dean of Research and Professor of Biomedical Informatics in the College of Health Solutions at Arizona State University (ASU), and Assistant Director of the Biodesign Center for Environmental Health Engineering. His research focuses on genomic epidemiology and bioinformatics of RNA viruses with a particular interest in influenza A viruses. Current projects include studying approaches to advance genomic epidemiology by enrichment of virus sequence metadata (funding: NIH/NIAID 1R01AI164481-01A1) and analysis of viruses from wastewater using bioinformatics (funding: NIH/NLM U01LM013129). The latter is partially funded by the NIH RADx-rad initiative.

His lab group is also interested in the molecular epidemiology of viruses including the amplification and sequencing of influenza A and B viruses for short and long-read high-throughput sequencing (HTS) and public health surveillance.

Please see here for a list of his publications in PubMed.

Phone
93850931
Location
Kirby Institute
  • Journal articles | 2023
    Namilae S; Wu Y; Mubayi A; Srinivasan A; Scotch M, 2023, 'Reply to comments on "Identifying mitigation strategies for COVID-19 superspreading on flights using models that account for passenger movement"', Travel medicine and infectious disease, vol. 51, pp. 102453, http://dx.doi.org/10.1016/j.tmaid.2022.102453
    Journal articles | 2022
    Faleye TOC; Driver EM; Bowes DA; Holm RH; Talley D; Yeager R; Bhatnagar A; Smith T; Varsani A; Halden RU; Scotch M, 2022, 'Detection of human, porcine and canine picornaviruses in municipal sewage sludge using pan-enterovirus amplicon-based long-read Illumina sequencing', Emerging Microbes and Infections, vol. 11, pp. 1339 - 1342, http://dx.doi.org/10.1080/22221751.2022.2071173

Current NIH grants as PI:

  • Bioinformatics Framework for Wastewater-based Surveillance of Infectious Diseases (U01LM013129)
  • Enriching SARS-CoV-2 sequence data in public repositories with information extracted from full text articles (R01AI164481)

Current NSF grants as PI:

  • Collaborative:RAPID: Leveraging New Data Sources to Analyze the Risk of COVID-19 in Crowded Locations (2027529)
  • Collaborative:Elements:Cyberinfrastructure for Pedestrian Dynamics-Based Analysis of Infection Propagation Through Air Travel (1931560)

 

  • 2018. Endeavour Fellowship. Australian Government

My Research Supervision

Emma Wang, PhD Candidate, Virology Research Laboratory, School of Medical Sciences