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Lana Garmire is a nationally recognizable translational bioinformatics scientist leading a multidisciplinary team in computational experimental human genomics. Her group uses a big data-driven approach to study diseases such as cancer and pregnancy adversities. Current research areas include single-cell bioinformatics genomics, multi-omics data integration for disease prediction, non-coding RNA genotype-phenotype linkage, and biomarker modeling methodology development. Garmire has won numerous competitive federal grant awards totaling 7.8 million dollars as Principal Investigator, including the NIH/BD2K K01 award from 2014-2019, and concurrent NIH R01 grant awards from both NICHD (2016-2021) and NLM (2016-2020). She obtained her M.A. degree in Statistics in 2005 and Ph.D. degree in Comparative Biochemistry with a focus on Computational Biology in 2007 from UC-Berkeley. Garmire completed her postdoctoral training from 2008 to 2011 under the joint mentorship of Prof. Shankar Subramaniam in the Bioengineering Department and Prof. Christopher Glass in the Department of Cellular and Molecular Medicine at UC-San Diego. She has published over 50 papers in high-quality journals, predominantly as a senior author, in journals such as Cell, Nature, Communications, and Genome Biology. Garmire has also mentored 30 MD fellows, postdocs, graduate students, and undergraduates with academic backgrounds in Biology, Mathematics, Physics, (bio)Statistics, Bioengineering, Computer Science, and Electrical Engineering. Additionally, she has served on NIH study sections and as Associate Editor for bioinformatics journals.
Department of Electrical Engineering and Computer Science