Deep Learning Researcher in Germany

Graduated with an MSc in Mathematics, also hold BSc in Physics and BSc in Mathematics. Originally focused on numerical analysis, then stumbled onto deep learning applications in the sciences. As a research assistant, I spent 1.5 years exploring data driven fluid dynamics using Graph Neural Network, through which I stumbled upon many theoretical questions about deep learning itself, which I am now eager to delve into. My research interests concern both the theoretical aspects of learning, and more application focused questions, in particular with regards to applications in engineering and science.