Shizheng Wen

Hi! I’m Shizheng, a Master student at ETH Zurich, advised by Prof. Siddhartha Mishra. My research focuses on applied and computational mathematics, with a particular interest in developing solvers for partial differential equations (PDEs). I am passionate about advancing numerical methods and machine learning techniques for PDEs, including:

• Differentiable Programming for numerical methods in PDEs.
• Physics-Informed Neural Networks (PINNs) and neural operators for PDE solutions.
• Large Multimodal PDE foundation models and their applications.

I received my bachelor’s degree at Nanjing University of Aeronautics and Astronautics. In the past, I’ve had the honor of working with Prof. Earl Dowell at Duke University, Prof. Xianglei Liu at NUAA, and Prof. Hao Sun at RUC.

PDEs are the language of natural science, governing everything from fluid dynamics to quantum mechanics. As an enthusiast of mathematics, physics, and biology, I love integrating multidisciplinary perspectives to tackle complex problems. If you’d like to connect or collaborate, feel free to reach out!