معرفی
Youyi Fong is an Affiliate Professor in the Department of Biostatistics at the University of Washington. He holds a PhD in Biostatistics from the University of Washington and dual PhDs in Molecular, Cellular, and Developmental Biology and Computer Science from Indiana University. His research focuses on statistical methods for vaccine efficacy trials, immune correlates analysis, machine learning applications in medical imaging, and computational biology. He leads the Fong Group, developing tools for cell segmentation and phenotyping using deep learning and computer vision techniques.
Key areas of research include analyzing clinical trial data for HIV, SARS-CoV-2, and dengue vaccines, as well as developing statistical frameworks for immune response modeling. His work integrates biostatistical methodologies with cutting-edge computational approaches, such as autoencoder-based unsupervised learning and kernel-based random effects models. Collaborations span infectious disease research, cell imaging analysis, and public health policy.
- Education:
- MS in Computer Science, Indiana University
- PhD in Molecular, Cellular, and Developmental Biology, Indiana University
- PhD in Biostatistics, University of Washington
Research interests emphasize vaccine development, threshold regression models, and computational tools for biomedical imaging. His lab has contributed software like TSP (The Seattle Pipeline) for cell and tissue imaging analysis, which includes cell segmentation, spatial analysis, and statistical methods for multiplexed data.
Publications span topics such as immune correlates of protection, vaccine durability, and statistical methodologies for clinical trials. His work bridges biostatistics, machine learning, and translational medicine to address global health challenges.
