Mike Conway, PhD

Research Interests

  • Clinical Natural Language Processing
  • Natural Language Processing
  • Public Health Informatics
  • Consumer Health Informatics
  • Health Informatics
  • Bioethics

Languages

  • English

Academic Information

  • Departments: Biomedical Informatics - Assistant Professor

Academic Office Information

  • 801-581-4080
  • 421 Wakara Way
    Salt Lake City, UT 84108

Academic Bio

Since earning his PhD from the University of Sheffield’s Department of Computer Science in 2007, Dr Conway's research has centered on utilizing Natural Language Processing for applications in public health informatics. First, in Dr Nigel Collier’s research group at the National Institute of Informatics, Japan (2007-2009) where, funded by a Japanese Society for the Promotion of Science postdoctoral fellowship, he contributed to the development of Biocaster, a system that uses NLP to automatically analyse global news texts and blogs, alerting public health practitioners to anomalous health events, and subsequently as a postdoctoral fellow in Dr Wendy Chapman’s Biomedical NLP lab, initially at the Department of Biomedical Informatics at the University of Pittsburgh (2009-2010) and then at the Division of Biomedical Informatics at the University of California San Diego (2011-2013). During this period, Dr Conway's research focused on the development of NLP resources for text mining electronic health records and other clinical data. In addition to his work with Dr Chapman, in the winter of 2010/2011 Dr Conway spent six months in the Division of Biomedical Statistics and Informatics at Mayo Clinic, Rochester, where, supervised by Dr Jyotishman Pathak, he contributed to the development of electronic health record-oriented phenotyping algorithms designed to fully automate the identification of candidates for epidemiological studies and clinical trials. In 2013, Dr Conway spend one year as an Assistant Project Scientist in the Division of Behavioral Health in the Department of Family & Preventive Medicine at the University of California San Diego, funded by the K99 component of a K99/R00 "Pathways to Independence" award entitled Utilzing Social Media as a Resource for Mental Health Surveillance. In 2014, he took up an Assistant Professor position at the University of Utah's Department of Biomedical Informatics where he leads the Population and Behavioral Health Informatics Group (https://pbhig.chpc.utah.edu/).

Research Statement

Dr Conway's research interests focus on the application of computational methods (e.g. natural language processing & machine learning) to problems in population and behavioral health.

Lab website: https://pbhig.chpc.utah.edu/

Google Scholar: https://scholar.google.com/citations?user=uiJso6MAAAAJ&hl=en

Email address: mike.conway@utah.edu

Education History

Type School Degree
Doctoral Training Sheffield University
Computer Science
Ph.D.
Graduate Training University of Sussex
Intelligent Systems
M.Sc.

Global Impact

Education History

Type School Degree Country
Doctoral Training Sheffield University
Computer Science
Ph.D. United Kingdom
Graduate Training University of Sussex
Intelligent Systems
M.Sc. United Kingdom