Christopher Baker

Christopher Baker is a Professor in the Department of Computer Science at the University of New Brunswick. His research integrates artificial intelligence, semantic web technologies, and health informatics to solve complex data integration challenges in occupational health and biomedicine.

Research Focus: Dr. Baker specializes in developing machine learning systems for occupational data classification, semantic frameworks for health surveillance, and interoperable data infrastructures. His work emphasizes practical applications in public health and life sciences.

Publication Trends: Recent articles (2020-2023) demonstrate a strong focus on automated occupational coding systems using NLP and machine learning, semantic web applications for global health surveillance, and data federation methodologies. Earlier work (2018-2020) established foundations in semantic data integration for agriculture and infectious disease management.