研究领域

计算动力系统，计算随机过程，流体力学，机器学习

教育背景

2017-2021 UC Berkeley 数学 博士

2014-2017 MIT 计算设计和优化 硕士

2011-2014 清华大学 力学 硕士

2007-2011 清华大学 机械工程 学士

科研经历

2021-2023 北京大学 博士后

荣誉与奖励

2020-2021 优秀奖学金 哈佛大学

代表性论文

[1] “Adjoint shadowing for backpropagation in hyperbolic chaos”, Angxiu Ni*, https://arxiv.org/abs/2207.06648.

[2] “Divergence formulas for sampling derivatives of transfer operators on an orbit”, Angxiu Ni*, https://arxiv.org/abs/2108.13863.

[3] “Fast adjoint differentiation of chaos”, Angxiu Ni*, https://arxiv.org/abs/2111.07692.

[4] “Fast differentiation of chaos”, Angxiu Ni*, https://arxiv.org/abs/2009.00595.

[5] “Approximating linear response formula by non-intrusive shadowing algorithms”, Angxiu Ni*, SIAM J. Numer. Anal., 59(6), Pages 2843–2865, 2021.

[6] “Adjoint sensitivity analysis on chaotic dynamical systems by non-intrusive least squares adjoint shadowing (NILSAS)”, Angxiu Ni*, Chaitanya Talnikar, Journal of Computa-

tional Physics, Volume 395, Page 690-709, 15 October 2019.

[7] “Hyperbolicity, shadowing directions, and sensitivity analysis of a turbulent 3-D flow”, Angxiu Ni*, Journal of Fluid Mechanics, Volume 863, Page 644-669, 28 January 2019.

[8] “Sensitivity analysis on chaotic dynamical systems by finite difference non-intrusive least squares shadowing (FD-NILSS)”, Angxiu Ni*, Qiqi Wang, Pablo Fernandez, Chaitanya

Talnikar, Journal of Computational Physics, Volume 394, Pages 615-631, 1 October 2019.

[9] “Sensitivity analysis on chaotic dynamical systems by non-intrusive least squares shad-owing (NILSS)”, Angxiu Ni*, Qiqi Wang, Journal of Computational Physics, Volume 347, Page 56-77, 15 October 2017.