Yu bo’s current research focuses on provider profiling, high - dimensional variable selection and survival analysis. In addition to research, he is also a big fan of soccer, a good photographer and a good cook.

Xiangeng has broad interests in developing statistical and computational methods with application in biomedical data. His current work mainly focuses on data integration, deep learning and survival analysis. Apart from studying, he enjoys doing sports, playing video games and watching movies.

Ruiwen is interested in applying statistical and computational methods to gain biological insights from varies biomedical data including microbiome and genetics data, as well as genome-wide association studies. In addition to his research work, he has a passion for classical music and enjoys playing the violin.

Feiyang is passionate about statistical theory and its application to medical data. His current research interests include survival analysis, deep learning, and data integration. Outside of academia, he enjoys mountain climbing, hiking, and exploring diverse cuisines.

Lin Yin is working on federated learning in different data sharing scenarios. He is also interested in developing methods in distributed and parallel computing. Besides studying and researching, he is an enjoyer of classical music.

Joey’s research bridges modern statistical methodology and biomedical applications, spanning survival analysis, deep learning, data integration, and synthetic data methods. In his free time, he enjoys playing basketball, reading novels, and watching anime.

Zian's current research focuses on inter-unit reliability, random forest, and survival analysis. Apart from doing research, he enjoys hiking, playing video games, and fitness.

Tommy’s research interests focus on survival analysis, dynamic risk prediction, deep learning, and data integration, with applications to biomedical, clinical, and financial data. His current work develops transformer-based methods for predicting short-term risks from longitudinal histories and explores knowledge distillation in settings with limited sample sizes. Outside of academia, he enjoys playing tennis, listening to jazz, and learning to cook authentic Chinese dishes.