Adrian Lindenmeyer
Adrian Lindenmeyer
Research assistant, University of Leipzig SCADS AI
Adrian.Lindenmeyer@medizin.uni-leipzig.de
+49 341 97-12048
Background and Position
Adrian Lindenmeyer studied Engineering Science and Mechanical Engineering at the Technical University of Munich. As a Visiting Researcher at the Northwestern University in Chicago Illinois he wrote his Master’s Thesis on the topic of automated image evaluation using Bayesian reasoning gaining a Master of Science in 2020. He subsequently joined the MPM group at ICCAS in late 2020. His areas of focus are AI-based medical decision support utilising time-aware patient data (EHR). A major part of his work considers enabling Neural Networks to express and quantify uncertainty for a given prediction in an effort to increase the trustworthiness and safety of Neural Networks for medical use.
Research Areas
– Statistical Modelling – Artifical Intelligence – Scientific Computing – Uncertainty Quantification