Lana Garmire, Ph.D.

• Associate Professor, Biostatistics

Lana Garmire is a nationally recognizable translational bioinformatics scientist leading a multidisciplinary team of computational and experimental human genomics. The group uses a big data driven approach to study diseases such as cancer, and pregnancy adversities. Current research areas include single-cell bioinformatics and genomics, multi-omics data integration for disease prediction, non-coding RNA genotype-phenotype linkage, and various biomarker modeling methodology development.

Garmire has won numerous competitive federal grant awards of over 7.8 million dollars as the PI, including the NIH/BD2K K01 award (2014-2019), and two concurrent NIH R01 grant awards from NICHD (2016-2021) and NLM (2016-2020). Garmire obtained an M.A. degree in Statistics (2005) and a Ph.D. degree in Comparative Biochemistry (Computational Biology focus, 2007), both from UC-Berkeley. She then did her postdoctoral training (2008-2011) under the joint mentorship of Prof. Shankar Subramaniam in the Bioengineering Dept. and Prof. Christopher Glass in the Department of Cellular and Molecular Medicine, UC-San Diego. She has published over 50 papers in high quality journals, predominantly as the senior author, in journals such as Cell, Nature, Nature Communication, and Genome Biology. She has mentored over 30 MD fellows, postdocs, graduate students, and undergraduates of various academic backgrounds, in Biology, Mathematics, Physics, (bio)Statistics, Bioengineering, Computer Science, and Electrical Engineering. She has served on various NIH study sections and is an Associate Editor of several bioinformatics journals.