Bioinformatics, Clinical Research, Epidemiology, Genetics, Genomics, Medical Imaging, Medical Informatics, Population Sciences, Public Health, Research Reproducibility
Artificial Intelligence, Classification, Computational Tools for Data Science, Deep Learning, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Machine Learning, Missing Data and Imputation, Network Analysis, Predictive Modeling, Sparse Data Analysis, Spatio-Temporal Data Analysis

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.