Scholar
Irina Gaynanova
Google Scholar ID: Jx4XlxcAAAAJ
University of Michigan
Citations & Impact
Citations
918
H-index
17
i10-index
23
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Publications: Multiple papers published in journals such as arXiv, The Journal of Open Source Software, Annals of Applied Statistics; Awards: David P. Byar Young Investigator Award, NSF CAREER Award, IMS Thelma and Marvin Zelen Emerging Women Leaders in Data Science Award, COPSS Emerging Leader Award; Projects: Developed R packages SmoothHOOI, fastfrechet, etc.; Other Achievements: Recognized with Dr. Judith Edmiston Mentoring Award from the Texas A&M College of Science for mentoring undergraduate students.
Research Experience
- Associate Professor, Department of Biostatistics, University of Michigan; Research group leader; Projects include the analysis of multi-omics data and wearable device data; Supported by the National Science Foundation and the National Institutes of Health.
Education
- Information not provided
Background
- Research Interests: Modern high-dimensional biomedical data analysis, data integration, machine learning, and high-dimensional statistics; Professional Field: Multi-omics data (e.g., RNASeq, metabolomics, microbiome) and wearable device data (continuous glucose monitors, ambulatory blood pressure monitors, activity trackers); Background: Committed to addressing applied problems to develop better statistical methods, which in turn aid scientific discovery. Emphasizes collaboration with both domain scientists and methodological researchers.
Miscellany
- Personal Interests: Cares deeply about the training of the next generation, emphasizing reproducible research practices and computational skills in teaching; Educational Philosophy: Integrates research and educational missions, employing a team-based approach to research with active student engagement.
