Jeffrey Chiang

Jeffrey Chiang, Ph.D., is an Adjunct Assistant Professor in the Department of Computational Medicine at the University of California, Los Angeles (UCLA). His research focuses on translating advances in big data and artificial intelligence into clinical applications, particularly for predicting age-related macular degeneration (AMD) and addressing computational challenges like limited data availability and bias reduction. Chiang leads the Computational Medicine Technology Core, which develops technical infrastructure for deploying these models in clinical settings.

Education:

• B.S., M.A., and Ph.D. in Psychology (Cognitive Science) at UCLA

Research Interests:

• Computational Medicine
• Artificial Intelligence in Clinical Research
• Predictive Modeling for AMD
• Health Informatics Integration
• Bias Mitigation in AI

Background: Prior to joining UCLA's faculty, Chiang held research positions in industry and the Department of Computational Medicine. His work emphasizes combining disparate health data sources and creating scalable technical solutions for clinical deployment.