Jason Moore, PhD



Jason Moore, PhD

Jason Moore, PhD

Adjunct Professor of Informatics (Penn) / Professor of Computational Biomedicine and AI in Medicine (Cedars-Sinai Medical Center)

Dr. Moore’s research focuses on the development, evaluation, and application of artificial intelligence (AI) and machine learning methods for the analysis of high-dimensional biomedical and clinical data. Recent work has focused on automated machine learning (AutoML) that can build analytics pipelines without human intervention. These automated tools serve to democratize ML so that anyone, regardless of training or expertise, can participate in data modeling and predictive analytics. Examples include the Tree-Based Pipeline Optimization Tool (TPOT) and Aliro AI. Current work is focused on integrating AutoML with knowledge graphs using large language models. Application areas include Alzheimer’s disease, cancer, HIV infection, and cardiovascular diseases. 

Dr. Moore has published over 600 per-reviewed papers, reviews, book chapters, and editorials. He is an elected Fellow of the American College of Medical Informatics, American Association for the Advancement of Science, American Statistical Association, International Association for Health Sciences Informatics, and the International Statistics Institute.

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To understand health and disease today, we need new thinking and novel science —the kind  we create when multiple disciplines work together from the ground up. That is why this department has put forward a bold vision in population-health science: a single academic home for biostatistics, epidemiology and informatics. 

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