科学计算与机器学习的交叉研究，一方面通过人工智能技术来解决科学计算问题，另一方面通过科学计算理论来理解和改进人工智能方法（https://github.com/q1sun/）。欢迎有志于从事上述研究方向的同学加入课题组！

• 2019.7至2021.8，北京大学北京国际数学研究中心，博士后

• 2021.8至今，英国威廉集团官网，助理教授

1）Q. Sun, S. Li, B. Zheng, L. Ju, and X. Xu. Learning singularity-encoded Green’s functions with application to iterative methods, Journal of Computational Physics, 2026.

2）Q. Sun, Z. Liu, L. Ju, and X. Xu. Lift-and-embed learning method for solving scalar hyperbolic equations with discontinuous solutions, Journal of Scientific Computing, 2026.

3）Q. Sun, X. Xu, and H. Yi. Dirichlet-Neumann learning algorithm for solving elliptic interface problems, Communications In Computational Physics, 2025.

4）Q. Sun, X. Xu, and H. Yi. Domain decomposition learning methods for solving elliptic problems, SIAM Journal on Scientific Computing, 2024.

5）Q. Sun, H. Dong, Z. Chen, J. Sun, Z. Li, and B. Dong. Layer-parallel training of residual networks with auxiliary variable networks, Numerical Methods for Partial Differential Equations, 2024.