Mi-Ok Kim, PhD
Director, Biostatistics Core, UCSF Helen Diller Family Comprehensive Cancer Center; Professor in Residence, Dept. of Epidemiology & Biostatistics, UCSF
Director, Biostatistics Core, UCSF Helen Diller Family Comprehensive Cancer Center; Professor in Residence, Dept. of Epidemiology & Biostatistics, UCSF
Dr. Mi-Ok Kim has joined the HDFCCC as Director of the Biostatistics Core. The Core is responsible for providing support for protocol development, review and analysis for clinical studies, and statistical expertise for research collaborations with Cancer Center investigators in all disciplines across the spectrum of basic, clinical and population sciences. Dr. Kim will lead the Core and work directly with Cancer Center leadership on developing and implementing a strategic and integrated shared resource plan.
Dr. Kim joins us from Cincinnati Children’s Hospital Medical Center in Cincinnati, OH, where she directed the Biostatistics Unit for the Cancer and Blood Diseases Institute. Notable collaborations included Children's Tumor Foundation’s Neurofibromatosis (NF) Therapeutic Consortium that builds up a preclinical pipeline for screening candidate drug therapies in animal model systems. Dr. Kim also developed a research program in novel clinical trial designs that incorporate biomarker information and aim to optimize patient benefits. With the expertise in the trial design she served on the faculty for the American Association for Cancer Research (AACR) sponsored 2015 Methods in Cancer Biostatistics Workshop.
Dr. Kim will also join the Department of Epidemiology and Biostatistics as Professor of Biostatistics, continuing academic contributions to the field of biostatistics and providing biostatistical support broadly on campus. Trained as a mathematical statistician, Dr. Kim is an independent statistical method researcher with research interest in non- and semi-parametric statistics, and longitudinal and survival data analysis. She has been supported by NIH and National Science Foundation (NSF) awards, and published in prestigious journals such as the Annals of Statistics and the Journal of the American Statistical Association. Her recent research focuses on causal inference using structured data for comparative effectiveness research (CER) and patient-centered outcome research (PCOR). Registries, network databases and Electronic Health Record (EHR) often impose a hierarchical structure where subjects or patients are clustered, for example, by geographical area of residence, health care provider or health plan. The data structure is often associated with unmeasured characteristics of individuals or health care providers. Supported by the Patient-Centered Outcome Research Institute (PCORI), Dr. Kim and her research team study optimal handling of the complex data structure both in the treatment selection decision process and the outcome analysis in order to minimize bias and maximize efficiency of the causal inference. Application studies of the project include pediatric Crohn’s disease (CD) and kidney transplant study.
MS: Statistics, University of Illinois, Urbana-Champaign, IL, 2000
PhD: Statistics, University of Illinois, Urbana-Champaign, IL, 2003