Michael Kamp
Leader of the research group trustworthy machine learning at IKIM
Institute for Artificial Intelligence in Medicine (IKIM), Ruhr-University Bochum
Michael Kamp is the leader of the research group Trustworthy Machine Learning at the Institut für KI in der Medizin (IKIM), located at the Ruhr-University Bochum. In 2021 he was a postdoctoral researcher at the CISPA Helmholtz Center for Information Security in the Exploratory Data Analysis group of Jilles Vreeken. Before that, he was a postdoctoral research fellow at Monash University, where he is currently an affiliated researcher. He was awarded his PhD in 2019 from the University of Bonn on Black-Box Parallelizations for Machine Learning. From 2011 to 2019 he was a data scientist at Fraunhofer IAIS, where he lead Fraunhofer’s part in the EU project DiSIEM on machine learning for cybersecurity, managing a small research team. Moreover, he was a project-specific consultant and researcher, e.g., for Volkswagen on federated learning for autonomous driving, DHL for parcel volume predictions, and Hussel for location analysis, and he designed and gave industrial trainings. Since 2014 he was simultaneously a doctoral researcher at the University of Bonn, teaching graduate labs and seminars, and supervising Master’s and Bachelor’s theses. Before that, he worked for 10 years as a software developer.