I am a Master’s student in Scientific Computing at Heidelberg University and a Research Intern at the Scientific AI Lab, working under Prof. Fred A. Hamprecht. My current research focuses on machine learning for stable and accurate orbital-free density functional theory (DFT), with an emphasis on improving the stability, efficiency, and accuracy of scientific simulations. I also work as a Student Assistant at Heidelberg University’s Scientific Software Center, where I develop Python-based methods for detecting deepfakes and AI-generated content, focusing on algorithmic design, model evaluation, and scientific software development. My research interests include machine learning systems, reinforcement learning, graph neural networks, natural language processing, recommender systems, and human-AI collaboration.
