Jeffrey Stegink studied mechanical engineering at the University of Rostock from 2015 to 2021, specializing in design engineering and drive technology. During his bachelor's thesis, Mr. Stegink dealt with the development process and concept development of a passive load for mapping dynamic loads on a hydraulic steering system of tractors.

During his Master's degree, Mr. Stegink worked as a research assistant and as part of his student research project at the Chair of Microfluidics. Here he designed a valve block to be additively manufactured, on which CFD analyses, topology optimization and generative design strategies were carried out. As part of his student research project, he worked on a test rig to test the hydraulic load capacity and tightness of small titanium alloy workpieces for the valve block. Jeffrey Stegink completed his studies with a master's thesis in which he developed a modular mounting concept for IoT sensors at Siemens Mobility GmbH for DB Cargo. Since graduating, Mr. Stegink has been working as a software engineer at W2E Wind to Energy GmbH. There he is involved in the research projects Intelliwind, DynaWind² and the current project DaCoWind. As part of these projects, Mr. Stegink is researching the implementation and substitution of neural networks in the control and operational management of wind turbines, which are intended to support the control and replace existing sensors.