Marylyn D. Ritchie, PhD, FACMI



Marylyn D. Ritchie, PhD, FACMI

Edward Rose, MD and Elizabeth Kirk Rose, MD Professor of Genetics and Informatics/Director, Division of Informatics

Dr. Ritchie is an expert in translational bioinformatics, with a focus on developing, applying, and disseminating algorithms, methods, and tools integrating electronic health records (EHR) with genomics. The mission of Dr. Ritchie’s lab is to improve our understanding of the underlying architecture of common, complex diseases. The approaches they take involve the development and application of new statistical, computational, machine learning, and AI methods with a focus on embracing complexity to uncover relationships between multi-omics data, clinical, environmental exposures, and social determinants of health. These meta-dimensional approaches hold the promise of providing a more comprehensive view of genetic, genomic, and phenotypic information. Dr. Ritchie is also interested in implementation of precision medicine into routine clinical care. Throughout her career, she has participated in research programs focused on the implementation of both pharmacogenomics and genomic medicine. Recent efforts are enriched in the concept of the Learning Health System, whereby they leverage the electronic health record linked biobank as a living laboratory to conduct research and then implement the findings to improve clinical care.

Content Area Specialties

Electronic health records (EHR), EHR-linked biobanks, polygenic scores, genomic medicine implementation, pharmacogenomics, Genome-wide association studies, Phenome-wide Association Studies

Methodology Specialties

Bioinformatics, biomedical informatics, machine learning, visual analytics, big data science in biomedicine

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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