Department of Communication Science and Engineering
Professional Title：Professor
Position：
Email：fbao@fudan.edu.cn
Visiting Address：
Tel：
Home Page：https://fbao-fudan.github.io/
Research Interests
Artificial Intelligence Methods:
(1) Self-supervised representation learning methods.
(2) Multimodal information fusion methods.
(3) Causal reasoning methods.
AI for Science:
(1) Life Sciences: Design large-scale, multimodal AI methods for single-cell omics, spatial omics, and multimodal biological data, providing in-depth analytical tools for life science research, serving brain science, oncology, aging, and other issues.
(2) Pharmaceutical Sciences: Integrate phenotypic drug screening microscopy platforms (High-content image-based phenotypic screen) to design large-scale drug screening methods across cell lines, microscopy platforms, and drug libraries, accelerating the discovery of small molecule drugs.
(3) Natural Sciences: Design AI methods for global long-term observational data to explore scientific values in meteorology, urban planning, and environmental science.
Academic Positions
Editor:
The Innovation Medicine
Reviewer:
Cell
Nature Biotechnology
Nature Communications
Cell Systems
Genome Biology
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks and Learning Systems
Briefings in Bioinformatics
IEEE Journal of Selected Topics in Signal Processing
Awards
2021 Cell Press Most Popular Article in China
2021 Germany DAAD AInet Fellowship
2021 CICAI International Conference on Artificial Intelligence, Best Paper Finalist
2020 IEEE CIS Transactions on Fuzzy Systems Outstanding Paper Award
2020 World Artificial Intelligence Conference Outstanding Young Paper Award
2019 Beijing Excellent Doctoral Dissertation
2019 Tsinghua University Excellent Doctoral Dissertation
Education and Working Experience
Fudan University / School of Information Science and Engineering
Principle Investigator
November 2024 – Present
University of California, San Francisco / Department of Medicinal Chemistry
Postdoctoral Fellow
November 2019 – September 2024
Tsinghua University / Department of Automation
Ph.D. in Engineering
September 2014 – July 2019
Harvard University Dana-Farber Cancer Institute / Department of Data Science
Visiting Scholar
March 2018 – January 2019
Publications
Representative Publications:
1. Transitive prediction of small molecule function through alignment of high-content screening resources.
Nature Biotechnology. 2025, in Press.
2. Tissue characterization at an enhanced resolution across spatial omics platforms with deep generative model.
Nature Communications. 2024, 15(1): 6541.
3. Integrative spatial analysis of cell morphologies and transcriptional states with MUSE.
Nature Biotechnology. 2022, 1-10.
4. Explaining the Genetic Causality for Complex Phenotype via Deep Association Kernel Learning.
Patterns, Cell Press. 2020, 100057. (Cover)
5. Scalable analysis of cell type composition from single-cell transcriptomics using deep recurrent learning.
Nature Methods. 2019, 16: 311–314.
6. Learning Deep Landmarks for Imbalanced Classification.
IEEE Transactions on Neural Networks and Learning Systems. 2019, 1(8): 2691-2704.
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