Research Topic: Kullback-Leibler-based relative risk models for integration of multiple data sources

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.

Lingxuan’s research interests are developing dynamic treatment regimes for kidney transplantation using survival outcomes and standardization methods for evaluating medical center performances. In field s other than academic, he has motorcycle license and is good at cooking seafood.

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.

Research Topic: Multi-view learning to assess drug response for psoriatic patients using multi-omics data

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.