Aiqing Zhu (祝爱卿)

I am a postdoctoral researcher in the Department of Mathematics at the National University of Singapore. My research focuses primarily on learning dynamical systems, including their learning algorithms, mathematical foundations and scientific applications. A key emphasis is placed on integrating physical principles and structures while maintaining desirable theoretical properties and guarantees—which can be viewed as structure-preserving methods in the age of AI. I am also interested in deep learning techniques for solving PDEs, particularly those that exploit their inherent mesh-free capabilities. Additionally, my work spans symplectic geometry algorithms and broader structure-preserving numerical methods, which form the foundation for much of my research at the intersection of AI and mathematical modeling.

Email: zaq@nus.edu.sg, zaq@lsec.cc.ac.cn.

Research interest:

• AI for science
• Machine learning and dynamical systems
• Symplectic geometric algorithms for Hamiltonian systems

Experience

• July. 2023 - present: Department of Mathematics, National University of Singapore, Singapore.
  • Research Fellow (postdoc), mentored by Prof. Qianxiao Li.

Education

• Aug. 2018 - July. 2023: Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.
  • Ph.D. in Computational Mathematics, advised by Prof. Yifa Tang.
• Aug. 2014 – July. 2018: University of Science and Technology of China, Hefei, Anhui, China.
  • B.S. in Mathematics.

Professional Service

Conference reviewer: NeurIPS, ICLR, ICML, etc.