Dr. Chiung-Yu Huang is a Professor of Biostatistics at the Department of Epidemiology and Biostatistics at the University of California, San Francisco (UCSF) and serves as an Adjunct Professor at the Johns Hopkins University Sidney Kimmel Comprehensive Cancer Center. Dr. Huang is a Fellow of the American Statistical Association (ASA) and is well known for her contributions to methodology research, particularly in the areas of survival analysis, competing risks analysis, recurrent event analysis, outcome-dependent sampling, and the design and evaluation of vaccine efficacy trials.
Dr. Huang's recent work has focused on developing innovative statistical methodologies to improve analysis efficiency in small-scale studies by integrating external large databases, modeling and predicting the risk of recurrent events to identify high-risk individuals, and incorporating information on infecting pathogens in the analysis of vaccine trials with active or passive surveillance. Additionally, she has developed efficient statistical methods for analyzing survival data collected in prevalent cohort studies, benefit-risk assessment tools for evaluating treatment risks and benefits in patients with end-stage disease, and statistical methods that can account for informative clinic visits in the analysis of electronic health records.
In addition to her methodological research, Dr. Huang has extensive experience in collaborative research across a wide range of fields, including influenza, malaria, transplant, and cancer studies. During her tenure as a Mathematical Statistician at the National Institute of Allergy and Infectious Diseases (NIAID), she collaborated with both extramural and intramural scientists on the design, conduct, monitoring, analysis, and presentation of preclinical and clinical studies. She also served as a statistician to the NIAID Influenza Research Collaboration (NIRC) and the Mexican Emerging Infectious Disease Clinical Research Network (La Red), and received numerous awards for her collaborative research, including the prestigious NIAID Merit Award.
Since joining UCSF in 2017, Dr. Huang has served as the lead statistician for the Hematopoietic Malignancies Program at UCSF Helen Diller Family Comprehensive Cancer Center and the University of California Hematologic Malignancies Consortium (UCHMC). She also established and currently serves as the core director of the UCSF Department of Surgery Biostatistics Research Core, which provides statistical support to surgery investigators in designing and conducting rigorous, high-quality research.
August 1, 2022 - July 31, 2027 - The impact of body composition on peri-operative and patient-centered outcomes in lung transplantation , Co-Investigator . Sponsor: NIH/NHLBI, Sponsor Award ID: U01HL163242
September 1, 2022 - August 31, 2025 - CF Statistical Expertise and Network (CF StatNet) Award , Statistician . Sponsor: Cystic Fibrosis Foundation, Sponsor Award ID: CFStatNet 003789Y7122
November 1, 2021 - January 31, 2025 - Mixed Data Meta-analysis: Integration of Individual Participant and Aggregate Data , Co-Investigator . Sponsor: PCORI, Sponsor Award ID: ME-2020C3-21269
June 15, 2018 - May 31, 2023 - Predicting post-transplant mortality and global functional health based on pre-transplant functional status in liver transplantation , Co-Investigator . Sponsor: NIH, Sponsor Award ID: R01AG059183
National Tsing-Hua University, Hsinchu, Taiwan, B.S., 07/1994, Mathematics
National Tsing-Hua University, Hsinchu, Taiwan, M.S., 07/1996, Mathematics
Johns Hopkins University, Baltimore, Maryland, Ph.D., 05/2002, Biostatistics