Kyoungmi Kim, PhD - Core Leader
Professor, Public Health Sciences
kmkim@ucdavis.edu
530-752-3422
https://health.ucdavis.edu/team/phs/1420/kyoungmi-kim
Dr. Kim is a professor of Biostatistics in the UC Davis School of Medicine with expertise in statistical genetics/genomics in particular and in high-throughput –omics research in general. Her research interests include disease biomarkers, quantitative genetics, post- genomics, and statistical and research methodology. Particular emphasis areas include the use of statistical methodologies and bioinformatics tools to identify disease-related genes and small molecules to understand disease mechanisms by integrating different types of -omics data. She focuses on computational and statistical approaches to disease biomarker discovery, including early detection of disease and predictions of responses to therapeutic interventions and risk of patient stratification. She has considerable preclinical research experience with rodent models and multifactorial traits and clinical therapeutic studies for neurodevelopmental disorders. Dr. Kim has participated in interdisciplinary team science projects addressing the genetic component of multi-factorial complex disorders.
Core Summary:
This P01 Program Project seeks to gain a functional and mechanistic understanding of the connections between a ketogenic diet and long-term impact on life and health span outcomes as well as Alzheimer's disease. The breadth and depth of the proposed Program Project, and its particular needs for state-of-the-art analytic approaches that address longitudinal, high-dimensional, and integrative treatment of data on both phenotype and genotype, require advanced statistical expertise with a high degree of specialization. The Biostatistics and Bioinformatics Core will provide comprehensive, tailored statistical support for research to the needs of the individual projects and cores at all stages of the research process throughout the life of the Program Project, including study design, protocol development, specified data analysis, and interpretation of the results to ensure scientific rigor to achieve robust and unbiased results.
Core Services:
- Provide tailored statistical support to investigators and projects
- Develop new statistical methodology for cutting-edge projects
- Provide and maintain database support