Adrian Lindenmeyer

DIGITAL PATIENT MODEL

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

Publications