Michael graduated with a Bachelor’s in Civil Engineering from the University of Connecticut, where he subsequently worked as a junior structural engineer and special inspector in New York City. During his Master’s, he worked as a HiWi with the AVOSS Group with the ISU at Leibniz University, where he helped develop and optimize feed-forward neural networks for the prediction of surface runoff based on predicted rainfall data throughout Germany. Recently, he successfully completed his Master’s in Computational Methods in Engineering at Leibniz University with a focus on the optimization of the network reliability method the survival signature for it’s use in large-scale real-world networks.
Following his experience, Michael will be now working on developing physically-informed neural networks for the prediction of the thermal history during wire-arc additive manufacturing.
