Shih-Ting Huang

Postdoctoral Research Associate, Division of Public Health Sciences


Ph.D., Ruhr-University, Bochum, Germany, 2022
M.S., Temple University, USA, 2015
B.A., National Taipei University, Taiwan, 2013


Dr. Huang is a biostatistician and he is interested in high-dimensional statistics, deep learning, precision medicine, and dynamical prediction. His current research focuses on developing statistical methods and theoretical properties for prediction of heterogeneous data across different samples and various features. Collaborating with pathologists from both Washington and Stanford University, Dr. Huang has proposed a sample-specific tuning parameter calibration pipeline for classification of immunofluorescence images with highly heterogeneity. Besides, he also works in personalized prediction of genomic data using high-dimensional generalized linear models. At Washington University, Dr. Huang is working with Dr. shu (joy) jiang and her team as a postdoctoral research associate in the Division of Public Health Sciences.