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I am currently an Assistant Professor in the School of Data Science at Fudan University.

Before that, I was a Postdoctoral Associate in the Department of Biostatistics at Yale University, advised by Prof. Hongyu Zhao. I received my Ph.D. from the Hong Kong University of Science and Technology in 2023, under the supervision of Prof. Can Yang and Prof. Yang Wang.

Our group develops machine learning, artificial intelligence, and statistical methods, with applications in computational biology and biomedical data science. We are particularly interested in developing AI-driven computational methods for single-cell and spatial omics, including generative modeling and foundation models, to understand biological systems and human disease.

We are actively looking for motivated people to join our group. If you are interested, please send me your CV via email.

Selected Publications

* Joint first authors. # Corresponding authors. † Consortium membership.

scMODAL: A general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links

Gefei Wang, Jia Zhao, Yingxin Lin, Tianyu Liu, Yize Zhao, Hongyu Zhao#.
Nature Communications. 2025.

Paper | bioRxiv | Software | Website
Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks

Gefei Wang*, Jia Zhao*, Yan Yan, Yang Wang, Angela Ruohao Wu#, Can Yang#.
Nature Machine Intelligence. 2023.

Paper | bioRxiv | Software | Website
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets

Jia Zhao*, Gefei Wang*, Jingsi Ming, Zhixiang Lin, Yang Wang, The Tabula Microcebus Consortium†, Angela Ruohao Wu#, Can Yang#.
Nature Computational Science. 2022.

Paper | bioRxiv | Software | Blog
Deep generative learning via Schrödinger bridge

Gefei Wang*, Yuling Jiao#, Qian Xu, Yang Wang, Can Yang#.
International Conference on Machine Learning. 2021.

Paper | Code

Contact

  • Email: wanggefei@fudan.edu.cn
  • Address: 417 Building C, 579 Guoquan Rd, Shanghai