Angxiu Ni

Angxiu Ni is an Assistant Professor in the Department of Mathematics at the University of California, Irvine. Their research focuses on Probability and Applied Dynamical Systems, with significant contributions to linear response theory for chaotic and high-dimensional systems. They developed computational tools such as the Fast Response Formula, Path-Kernel method, and Ergodic/Foliated kernel differentiation.

• PhD from UC Berkeley Mathematics
• Postdoctoral work at Peking University BICMR
• Former Assistant Professor at YMSC, Tsinghua University

Research areas include:

• Linear response theory for hyperbolic systems
• Non-intrusive shadowing algorithms
• Adjoint theories and gradient explosion analysis
• Applications to fluids, geophysics, and machine learning

They are mentored by prominent mathematicians including John Strain and Qing Nie, and have collaborated with Stefano Galatolo on optimal response problems.