Dr. Garmire's research interest lies in applying data science for actionable transformation of human health from the bench to bedside. Current research focus areas include cutting edge single-cell sequencing informatics and genomics; precision medicine through integration of multi-omics data types; novel modeling and computational methods for biomarker research; public health genomics. She applies her biomedical informatics and analytical expertise to study diseases such as cancers, neurodegenerative diseases and neonatal/women's health.
- Ph.D., Comparative Biochemistry, University of California, Berkeley
- M.A., Statistics, University of California, Berkeley
- B.S., Food Science and Engineering, Ocean University of China
Health Services Research and Policy Focus
Condition Focus
Population Focus
Affiliated Centers and Programs
U-M Academic Affiliation(s)
Medical School
Medical School
Computational Medicine and Bioinformatics
Public Health
Public Health
Biostatistics
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U-M Primary Appointment
Associate Professor
Medical School » Computational Medicine and Bioinformatics
Contact Information
Email
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