Dr. Liang's research interest focuses on the development and application of data science, informatics, and artificial intelligence that lead to a safe and intelligent health system. His recent work involves heterogeneous health data integration, Electronic Health Records (EHR) based phenotyping and data mining, medical knowledge representation, EHR-based machine learning and predictive modeling, and clinical natural language processing.
Biographical Profile
College
Arnold School of Public Health
Department
Health Services Policy & Mgmt
Tenure Status
Tenure Track
Interest Background
Do you include students in your research?
Undergraduates and Graduates
Interest Keywords
medical informatics, Electronic Health Records (EHR), health data integration, medical knowledge representation, machine learning, clinical natural language processing, artificial intelligence in medicine
Institutional Focus Areas
Biomedical Sciences, Health Disparities, Behavioral Sciences, Social Sciences, Science and Engineering (Other), Health Sciences, Computational Sciences
Personal Focus Areas
development and application of data science, informatics, and artificial intelligence
Professional Preparation(Education & Training)
Dates
Institution
Location
Degree
Field of Study
2012 - 2017
University of Texas Health Science Center
Houston, Texas
PhD
Biomedical Informatics
2009 - 2012
Soochow University
Suzhou, China
MS
Psychology
2004 - 2008
Soochow University
Suzhou, China
BE
Information Engineering
Memberships & Professional Activities
Dates
Type
Description
Institution/Entity
Present
Membership
Member
American Medical Informatics Association
Present
Membership
Member
Cognitive Science Society
Present
Membership
Member
Association for Computing Machinery
Positions & Appointments
Dates
Description
Institution/Entity
2019 - Present
Assistant Professor (tenure track)
University of South Carolina
2023
Elected as a Fellow in the American Medical Informatics Association
American Medical Informatics Association
Recognition Awards, Honors, & Fellowships
Dates
Type
Description
Foundation/Entity
2023
Award
Selected as one of seven researchers across the country to join the Data and Technology Advancement (DATA) National Service Scholar Program
National Institutes of Health (NIH)
The two sections below (Awards and Pending Proposals) are only viewable by PIs, business managers, chairs, and deans.