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Jake Luo

Jake Luo

  • Associate Professor, Health Informatics & Administration
  • Affiliate Professor, Computer Science
  • Graduate Program Director, Health Care Informatics

Jake Luo’s research interest lies in data-driven predictive analysis using machine learning-based algorithms and technologies, such as data mining, natural language processing and knowledge representation and modelling. He is interested in investigating how these computing technologies can be used to improve health care by providing intelligent decision support for clinicians, medical researchers, patients, and policymakers.

Luo’s active research programs involve developing innovative heath data science technologies for knowledge discovery, adapting machine learning algorithms to enhance clinical data processing, implementing collaborative team science initiatives to improve health services and research, and creating intelligent clinical informatics tools to support evidence-based decision making.

Education

Postdoctoral Scientist Biomedical Informatics Columbia University New York
PhD Computer Science, Belfast, UK Queen’s University
MS Software Engineering, Xidian University China
BS Electronic Engineering, Xidian University China

Focus

  • Health Big Data and Predictive Analysis
  • Natural Language Processing
  • Health Informatics and Management
  • Text Mining and Information Extraction
  • Artificial Intelligence and machine learning

Selected Publications

 

Honors & Awards

  • Outstanding Clinical Research Informatics Paper Award Nominated (2014) AMIA.
  • Outstanding Reviewer Award (2013) MedInfo 2013.
  • Top hottest 25 paper (2012) Journal of Biomedical Informatics.
  • Distinguished paper award (2011) AMIA CRI summit.

Professional Memberships

  • Member of the American Medical Informatics Association (AMIA), 2009-present
  • Member of Association for Advancement of Artificial Intelligence (AAAI), 2006-2010
  • Member of Institute of Electrical and Electronics Engineers (IEEE), 2008-2009

Courses Taught

  • Health Big Data Processing
  • Introduction to Health Care Informatics
  • Biomedical Informatics Seminar
  • Fundamental Programming
  • Advanced Programming

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