Daniel Biermann

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.