My current research focused on Bayesian ordinary differential equation (ODE) disease progression model leveraging ADNI data. My research interests include Bayesian modeling, Machine learning algorithms, Multimodal data integration for health and biomedical data.

I received an MS from UCSF, advised by Prof. Aaron Wolfe Scheffler, an MS from New York University, advised by Prof. Hai Shu, and a BA in Bioscience from Zhejiang University. I also worked as a GSR for UCSF Multitudes Project at the UCSF Memory and Aging Center and an Statistical Engineer at NppStudio.

For more information, please see my CV.

email:

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Selected Publications

Wu, R., Chen, Z., Li, G., & Shu, H. (under review). Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data. [Paper]

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