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I am a Master Student at Department of Epidemiology & Biostatistics at the University of California, San Francisco (UCSF) advised by Prof. Aaron Scheffler. I am a graduate student researcher for UCSF Multitudes Project at the UCSF Memory and Aging Center.

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.

Prior to my arrival at UCSF, I received an MS from New York University, advised by Prof. Hai Shu and a BA in Bioscience from Zhejiang University.

For more information, please see my CV.

email: rong.wu [at] ucsf.edu


news

May 2024 Code and model weights of DK-UXNet are released! Check out our GitHub repo.

publications

(*) denotes equal contribution
  1. nsgcca.png
    Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
    Rong Wu, Ziqi Chen, Gen Li, and Hai Shu
    Under Review
  2. dsm.png
    Unleashing Diffusion and State Space Models for Medical Image Segmentation
    Rong Wu, Ziqi Chen, Liming Zhong, Heng Li, and Hai Shu
    Under Review
  3. umh.png
    Enhancing Medical Image Segmentation via Heat Conduction Equation
    Rong Wu, and Yim-Sang Yu
    Under Reivew
  4. dxunet.jpg
    Semi-supervised Medical Image Segmentation via Query Distribution Consistency
    Rong Wu, Dehua Li, and Cong Zhang
    2024 IEEE International Symposium on Biomedical Imaging (ISBI)
  5. OPAT.jpg
    Assessment of risk factors associated with outpatient parenteral antimicrobial therapy (OPAT) complications: A retrospective cohort study
    Christina M Kaul, Matthew Haller, Jenny Yang, Sadie Solomon, Yaojie Wang, Rong Wu, Yu Meng, Robert A Pitts, and Michael S Phillips
    Antimicrobial Stewardship & Healthcare Epidemiology