Tim Kaiser

Tim Kaiser is a PhD student in Artificial Intelligence from Duesseldorf. His research experience is in the field of deep generative models with his master thesis being the development of a method for the reparation of artefacts in histological brain sections with deep generative models. With an academic background in mathematics, his research interests are the analysis and design of deep learning methods on unsolved challenges. As a PhD student he is part of a research project that develops state of the art methods for predicting RNA folding structures from sequence information.