Irina Gaynanova

Contact:

Department of Biostatistics
University of Michigan
1415 Washington Heights
Ann Arbor, MI 48109
Office: 4602 SPH I
Email: irinagn [at] umich.edu

Link to CV

I develop statistical methods to analyse modern high-dimensional biomedical data. My methodological interests are primarily in data integration, machine learning and high-dimensional statistics, motivated by challenges arising in analyses of multi-omics data (e.g. RNASeq, metabolomics, micribiome) and data from wearable devices (continuous glucose monitors, ambulatory blood pressure monitors, activity trackers). I am convinced that challenging applied problems give rise to better statistical methodology, and that better statistical methodology in turn aids scientific discovery. I believe that collaboration plays a key role in achieving this goal and I enjoy working with both domain scientists and methodological researchers. My research has been supported by the National Science Foundation, the National Institutes of Health, and recognized with a David P. Byar Young Investigator Award from the Biometrics section of the American Statistical Association and NSF CAREER Award. If you would like to join the research group, click here to explore available opportunities.

I deeply care about the training of next generation, and put large emphasis on reproducible research practices and computational skills in my teaching. I embrace integration of my research and education missions, and employ a team-based approach to research with active student engagement. My efforts in mentoring undergraduate students have been recognized with Dr. Judith Edmiston Mentoring Award from the Texas A&M College of Science.

Formal short Bio

Recent news: