|UW Box Number||354322|
Tzu-Jung Huang is a Postdoctoral Researcher at the Department of Statistics in the University of Washington, working with Dr. Alex Luedtke to develop statistical methods for evaluating the vaccine efficacy of COVID-19. She received her Ph.D. in Biostatistics from Columbia University, under the supervision of Dr. Ian W. McKeague and Dr. Min Qian. Her dissertation established a marginal screening test to detect the presence of significant predictors for a right-censored time-to-event outcome in a high-dimensional setting, with the post-selection inference (in the sense that the implicit variable selection step) taken into account to avoid inflating the Type I error. Before joining the University of Washington, she worked as a data scientist in COX Enterprise at Atlanta, converting messy data into neat information to facilitate decision making in the business. She highly enjoys her ongoing adventure to explore the interplay between statistical theories and real-world problems.