教育经历
2019年 获同济大学博士学位
2015-2016年 哥伦比亚大学访问学者
工作经历
博士毕业后在布朗大学应用数学系、同济大学从事博士后研究
2022年入职复旦大学人工智能创新与产业研究院
研究方向
1. 高分辨率气象场智能降尺度研究：融合计算流体力学与深度学习方法，开发针对复杂下垫面（山地/城市）的伏羲气象大模型降尺度系统，实现10米级气象要素的精准预报，支撑新能源功率预测及低空经济发展。
2. 血管网络智能建模与血流动力学分析：基于深度学习与计算流体力学方法，构建人体血管系统的多尺度智能模型，实现血管介入手术的仿真与预后预测，为临床决策提供量化评估体系。
3. 气泡动力学跨尺度建模与知识发现：通过深度神经算子与物理信息神经网络的混合建模框架，构建数据-物理双驱动的气泡动力学模型，并实现隐式物理规律的显式数学表征。
主要成果
代表成果发表在PNAS、Nature Communications、Journal of Fluid Mechanics等国际顶级期刊上。
主持国家自然科学基金青年项目、上海市自然科学基金面上项目、复旦张江临床医学创新基金项目、清华大学外部协作课题、复旦大学引进人才启动项目等；重点参与科技部国家重点研发计划、科技部国家科技重大专项等。
招生专业
依托复旦大学大数据学院招收硕士研究生，招生专业为统计学，欢迎有机器学习、力学、气象相关背景的同学提前联系。
发表论文
1. Lin, Chensen, Martin Maxey, Zhen Li, Kaixuan Zhang, and George Em Karnidakis. Onset of cavitation and vapor bubble development over hydrophilic and hydrophobic surfaces. PNAS (Proceedings of the National Academy of Sciences of the United States of America) (2025).
2. Liu, Shuai, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, and Chensen Lin*. "Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach." Engineering Applications of Computational Fluid Mechanics (2025).
3. Lu, Minglei#, Chensen Lin#, Martin Maxey, George Em Karniadakis, and Zhen Li. "Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning." International Journal of Multiphase Flow (2024).
4. Zhong, Xiaohui, Lei Chen, Jun Liu, Chensen Lin, Yuan Qi, and Hao Li. "FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model." Science China Earth Sciences (2024).
5. Chen, Lei, Xiaohui Zhong, Hao Li, Jie Wu, Bo Lu, Deliang Chen, Shang-Ping Xie, Libo Wu, Qingchen Chao, Chensen Lin, Zixin Hu and Yuan Qi. "A machine learning model that outperforms conventional global subseasonal forecast models." Nature Communications (2024).
6. Liu, Shuai, Shuo Chen, Lanlan Xiao, Kaixuan Zhang, Yuan Qi, Hao Li, Yuan Cheng, Zixin Hu, and Chensen Lin*. Unraveling the motion and deformation characteristics of red blood cells in a deterministic lateral displacement device. Computers in Biology and Medicine (2023).
7. Zhao, Dongxiao, Lanlan Xiao, Hussein Aluie, Ping Wei, and Chensen Lin*. "Lagrangian investigation of the interface dynamics in single-mode Rayleigh–Taylor instability." Physics of Fluids (2023). (Featured Article)
8. Lin, Chensen, Shuo Chen, Ping Wei, Lanlan Xiao, Dongxiao Zhao, and Yang Liu. Dynamic characteristics of droplet impact on vibrating superhydrophobic substrate. Physics of Fluids (2022).
9. Lin, Chensen, Martin Maxey, Zhen Li, and George Em Karniadakis. A seamless multiscale operator neural network for inferring bubble dynamics. Journal of Fluid Mechanics (2021).
10. Lin, Chensen, Zhen Li, Lu Lu, Shengze Cai, Martin Maxey, and George Em Karniadakis. Operator learning for predicting multiscale bubble growth dynamics. The Journal of Chemical Physics (2021).
