Faculty Profile

Lana  Garmire, Ph.D.

Lana Garmire, Ph.D.

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

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