Faculty Profile

Lana Garmire

Lana Garmire, PhD

  • Associate Professor, Biostatistics
  • Associate Professor, Computational Medicine & Bioinformatics
Dr. Garmire is an awardee of US Presidential Early Career Scientists and Engineers in 2019, the highest honor bestowed to the most outstanding early career scientists and engineers in the United States. Before joining University of Michigan DCMB department, she rapidly rose to tenure (Dec. 2012 to Jun. 2017) at University of Hawaii Cancer Center, and has become a nationally and internationally recognizable translational bioinformatics scientist leading a multidisciplinary team of computational and experimental human genomics. Garmire has won numerous competitive federal grant awards as the PI, including NIH/NIGMS P20 COBRE (2014-2018, Project Leader), NIH/BD2K K01 award (2014-2021), three concurrent NIH R01 grant awards from NICHD (2016-2021), NLM (2016-2021), and NLM (2019-2022).

In 2012, she won the first bioinformatics NIH SBIR grant for Asuragen Inc (a spin-off of Ambion, the RNA company), and then resumed the tenure-track faculty position since September 2012. Dr. Garmire collaborates with a variety of top researchers nationally and internationally. She has published over 50 papers in high quality journals including Cell and Nature. She has mentored over 40 MD fellows, postdocs, graduate students and undergraduates of various academic backgrounds, in Biology, Mathematics, Phyiscs, (bio)Statistics, Bioengineering, Computer Science and Electrical Engineering. She has served on various NIH study sections. She is an Associate Editor of BMC Bioinformatics and Guest Editor of PLoS Computational Biology.

  • MA degree in Statistics (2005) UC Berkeley
  • PhD degree in Computational Biology (2007), UC-Berkeley
  • Postdoctoral training (2008-2011) UC-San Diego

  • Single-cell sequencing and bioinformatics
  • Integrative omics/clinic data analysis
  • Translational bioinformatics of cancers and immune-related diseases, such as classifying biomarkers for cancer prognosis and diagnosis
  • Pregnancy adversities and fetal orgin of cancers, public health genomics

From Hawaii to PECASE award: tips of success from a female bioinformatician. Garmire LX. Genome Biol. 2019 Dec 12;20(1):271. doi: 10.1186/s13059-019-1886-x

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data. Arisdakessian C, Poirion O, Yunits B, Zhu X, Garmire LX. Genome Biol. 2019 Oct 18;20(1):211. doi: 10.1186/s13059-019-1837-6.

Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage. Poirion O, Zhu X, Ching T, Garmire LX. Nat Commun. 2018 Nov 20;9(1):4892. doi: 10.1038/s41467-018-07170-5. 

Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists. Zhu X, Wolfgruber TK, Tasato A, Arisdakessian C, Garmire DG, Garmire LX. Genome Med. 2017 Dec 5;9(1):108. doi: 10.1186/s13073-017-0492-3.

Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer. Chaudhary K, Poirion OB, Lu L, Garmire LX. Clin Cancer Res. 2018 Mar 15;24(6):1248-1259.

Phone:  734-936-1932
Email:  lgarmire@umich.edu

NCRC, Building 520, Room 3366
1600 Huron Parkway
Ann Arbor, MI 48105

Areas of Expertise: Biostatistics