Since early youth, Daniel has had an interest in how the world works. He began his academic journey studying physics at the RWTH Aachen University, finishing with a MSc in condensed matter physics. During his Master's studies, he was introduced to the fields of computational- and theoretical neuroscience at the Jülich Research Centre. There, he had his first encounters with the fields of artificial intelligence and machine learning. Since then, his fascination with AI has only been growing. His interests lie in the areas of learning, inference, and dynamics of neural networks as well as the application and development of novel learning algorithms. His current research is focusing on deep learning, NLP, and chatbots.
Director and professor
Deputy director and professor
Professor
Professor
Administrative leader
Adviser, Research Administration
Professor of philosophy
Professor of theology and philosophy
ICT advisor and researcher
Associate professor and medical doctor
Associate professor
Professor
Chancellor's professor
Associate Professor
Professor
Assistant professor
Researcher
Senior engineer
Researcher
PhD candidate
PhD candidate
PhD candidate
PhD candidate
PhD candidate
PhD candidate
PhD candidate
PhD candidate
PhD candidate
PhD candidate
PhD Candidate
PhD candidate
PhD candidate