I’m a 25-year-old master’s student in Data Science and Artificial Intelligence at the University of Stuttgart and a scientific assistant in the Machine Learning and Simulation Lab (MLS) of Mathias Niepert at the Institute for Artificial Intelligence. My research interests lie in the intersection of machine learning, numerical analysis, and scientific computing. I’m currently working on developing and applying transformer-based models for solving partial differential equations (PDEs). PDEs are widely used to model and simulate complex physical phenomena, such as fluid dynamics and heat transfer. Transformers are powerful neural networks that can capture long-range dependencies in sequential data. By utilizing Transformers for solving PDEs, I aim to create efficient and accurate methods for solving PDEs and advancing the state-of-the-art in scientific machine learning.