Miaowen Dong

About me

As a member of Jan Gerken’s group, my research focuses on equivariant neural networks and data augmentation. I am broadly interested in understanding how symmetry can be exploited to design more efficient and reliable deep learning models.

With a background in applied mathematics and probabilistic methods, I aim to integrate these approaches to improve performance and explore new applications of deep learning models.

My research is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP).

Education

MSc in Mathematics in Science and Engineering at Technical University of Munich (TUM), Germany (2025) Thesis: Multilevel Estimators for Rare Events with Selective Refinement Strategy Supervised by: Prof. Dr. rer. nat. Elisabeth Ullmann