John H. Holmes, PhD, FACE, FACMI



John H. Holmes, PhD, FACE, FACMI

John H. Holmes, PhD, FACE, FACMI

Professor of Medical Informatics in Epidemiology

In addition to his professorship in the DBEI, Dr. Holmes is the Associate Director of the Institute for Biomedical Informatics, Director of the Master’s Program in Biomedical Informatics, and Chair of the Doctoral Program in Epidemiology, all at Penn. Dr. Holmes leads studies of novel analytic methods informed by statistics and artificial intelligence as they apply to interactions between people and environments in space and time. 

Dr. Holmes is or has been a principal or co-investigator on projects funded by the National Cancer Institute, the National Library of Medicine, the Patient-Centered Outcomes Research Institute (PCORI) and the Agency for Healthcare Research and Quality. Dr. Holmes is engaged with the Botswana-UPenn Partnership, assisting in building informatics education and clinical research capacity in Botswana. 

Dr. Holmes teaches courses in quantitative epidemiology, biomedical informatics, databases for clinical research, and machine learning and intelligent agents.

Dr. Holmes is an elected Fellow of the American College of Medical Informatics (ACMI), the American College of Epidemiology (ACE), and the International Academy of Health Sciences Informatics (IAHSI).

Content Area Specialties

Treatment regimen adherence, cancer epidemiology, cardiovascular epidemiology, infectious diseases, injury, medical informatics, patient-oriented research, pharmacoepidemiology, prevention, public health, pulmonary epidemiology

Methodology Specialties

Agent-based modeling, machine learning approaches to knowledge discovery in databases, deep electronic phenotyping, interoperable information systems infrastructures for epidemiologic surveillance

About Us

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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