The Bao Lab at Fudan University (复旦大学) is led by Feng Bao (鲍峰), PI at the College for Future Information Technology (未来信息创新学院). We develop general statistical learning and AI approaches with applications in biological and medical studies and drug screening. Our mission is to understand complex systems and leverage computational methods to answer fundamental biological questions and improve medical research.
We sit at the intersection of machine learning, statistics, and biology — designing methods that extract meaningful signal from high-dimensional, heterogeneous, multi-modal data. Core themes include self-supervised representation learning, multi-modal information fusion, causal inference in complex biological systems, and deep generative models for spatial omics.
- 2025Shanghai Science and Technology Leadership U35 Nomination
- 2025Xiaomi Young Scholar
- 2023National High-level Overseas Young Talent (国家海外高层次青年人才)
- 2023Shanghai High-level Overseas Young Talent (上海市海外高层次青年人才)
- 2021Cell Press China Most Popular Article
- 2021Germany DAAD AInet Fellowship
- 2021CICAI International Conference on Artificial Intelligence, Best Paper Finalist
- 2020IEEE CIS Transactions on Fuzzy Systems Outstanding Paper Award
- 2020World Artificial Intelligence Conference Outstanding Young Paper Award
Academic reviewer for 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, and IEEE Journal of Selected Topics in Signal Processing.
We are always interested in motivated students and postdoctoral fellows who are passionate about interdisciplinary research at the frontier of AI and biology. Whether your background is in machine learning, statistics, bioinformatics, or biology, we would love to hear from you.
Please visit the Contact page or reach out directly to fbao@fudan.edu.cn.