Applications:
Biological Sciences, Healthcare Research, Informatics, Social Science
Methodologies:
Artificial Intelligence, Computing, Data Integration, Data Mining, Image Data, Machine Learning, Networks, Statistics

Lana Garmire

Associate Professor

Computational medicine and Bioinformatics

My 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. I apply my biomedical informatics and analytical expertise to study diseases such as cancers, as well the impact of pregnancy/early life complications on later life diseases.