Dr. Chiung-Yu Huang is Professor of Biostatistics at the Department of Epidemiology and Biostatistics and an elected Fellow of the American Statistical Association (ASA). She is a Member of the UCSF Helen Diller Family Comprehensive Cancer Center and an Adjunct Professor at the Johns Hopkins University Sidney Kimmel Comprehensive Cancer Center. She is recognized for her novel methodology research in survival analysis, competing risks analysis, recurrent event analysis, outcome-dependent sampling, and design and evaluation of vaccine efficacy trials. Dr. Huang’s recent methodology contributions include (1) methods for combining information from external large databases, such as disease registries, to improve efficiency in the analysis of relatively small-scale studies that collect more detailed patient-level information. The importance of such methods has been recognized as we have now entered the big data era; (2) methods to better model, estimate, and predict the risk of recurrent events to identify individuals who are at a high risk of experiencing recurrent events, allowing one to target these individuals for more intensive monitoring and treatment; (3) statistical methods for analyzing vaccine trials with active or passive surveillance by incorporating information about infecting pathogens collected at the time of infection; (4) efficient statistical methods for survival data collected in prevalent cohort studies. (5) benefit-risk assessment tools for evaluating treatment risks and benefit in cancer patients with end-stage disease; (6) statistical methods that can properly account for informative clinic visits in the analysis of electronic health records.
In addition to statistical method research, Dr. Huang has a rich experience in collaborative research across a wide range of areas, including influenza, malaria, transplant, and cancer studies. During her service as a Mathematical Statistician at NIAID, NIH (2004-2013), she worked closely with both extramural and intramural NIH scientists on the design, conduct, monitoring, analysis, and presentation of preclinical and clinical studies. She served as a statistician to the NIAID Influenza Research Collaboration (NIRC) and the Mexican Emerging Infectious Disease Clinical Research Network (La Red), and was a statistical reviewer to the Infectious Disease Clinical Research Program (IDCRP) and several intramural laboratories within NIAID. She has received numerous awards for her collaborative research, including the prestigious NIAID Merit Award. Prior to joining UCSF, she was an Associate Professor at the Johns Hopkins University Sidney Kimmel Comprehensive Cancer Center (2013-2017), where she served as the lead statistician to the Breast and Ovarian Cancer Program. She also worked closely with the Transplant and Oncology Infectious Diseases Programs in modeling and characterizing morbidities attributable to infections occurring after solid organ transplants (SOT) and hematopoietic stem cell transplants (HSCT). Since joining UCSF in 2017, she has been serving as the lead statistician to the Hematopoietic Malignancies Program at UCSF Helen Diller Family Comprehensive Cancer Center and is the primary statistician to the University of California Hematologic Malignancies Consortium (UCHMC).