Mr. Yannick Schubert began his academic journey with outstanding performance in physics and mathematics during his secondary education at Hans-Carossa-Oberschule (Gymnasium) in Berlin, Germany, where he graduated with a final grade of 1.3. His academic excellence and keen interest in engineering led him to pursue both his Bachelor of Science (2012–2016) and Master of Science (2016–2022) in Engineering Science at the Technical University of Berlin. With a final GPA of 1.0 in his master’s studies the highest possible Mr. Schubert demonstrated early brilliance in fluid mechanics and computational fluid dynamics (CFD). His theses at both bachelor and master levels addressed complex flow dynamics, including his master thesis on vortex-induced vibrations, laying a solid foundation for advanced work in Strömungsakustik (flow acoustics).
Professional Endeavors
Following his academic success, Mr. Yannick Schubert embarked on an ambitious professional path that integrates research, practical engineering, and teaching. Since June 2022, he has served as a Research Assistant and Doctoral Candidate in the Department of Numerical Fluid Dynamics at TU Berlin. His work focuses on the development and implementation of aeroacoustic solvers, directly contributing to advancements in Strömungsakustik. Prior to this, he held multiple research assistant roles, including work on aerosol transmission systems in cooperation with Charité Berlin, and on machine learning applications for turbulent flow modelling at BIT GmbH. Additionally, his long-standing experience with Rolls-Royce Deutschland Ltd & Co KG, where he developed dynamic fluid system models for jet engines, provided him with strong industrial insight and hands-on CFD experience.
Contributions and Research Focus
Mr. Schubert's research is anchored in Strömungsakustik, where he investigates the acoustic properties of turbulent and compressible flows. His contributions span the creation of low-order models for flow-induced vibrations and aeroacoustic solvers that simulate sound generation and propagation in fluids. Through his doctoral research, he is advancing the frontiers of numerical aeroacoustics, blending computational physics, fluid dynamics, and machine learning to solve real-world problems in fluid-induced noise prediction and control. His work has implications for environmental noise reduction and efficient aircraft engine design.
Impact and Influence
Though early in his research career, Mr. Yannick Schubert has already made notable contributions to the field of Strömungsakustik. By integrating machine learning with fluid dynamics and focusing on coherent structures in turbulent flow, he is influencing how engineers model and control noise in both academic and industrial settings. His multidisciplinary approach is bridging gaps between theoretical modelling and experimental validation, which has the potential to transform practices in aeroacoustic design and noise prediction.
Academic Cites
While still building his publication portfolio, Mr. Schubert's work is expected to gain strong academic recognition. His involvement in high-level research at TU Berlin, collaboration with institutions like Charité Berlin, and participation in projects with global industry leaders like Rolls-Royce position him well for impactful publications. As he continues his doctoral studies, he is poised to contribute significant, citable work to journals focused on CFD, turbulent flow, and especially Strömungsakustik.
Legacy and Future Contributions
Mr. Yannick Schubert is on a promising trajectory toward becoming a leading figure in the field of Strömungsakustik. His dedication to both academic research and industrial applications sets the groundwork for a legacy of innovation in noise prediction, jet engine design, and environmental sound management. Through mentoring, teaching CFD and computer science, and publishing influential research, he is shaping future generations of engineers and acousticians. His future contributions are expected to further the understanding of fluid–structure–sound interactions and push forward sustainable engineering practices.
📝Strömungsakustik
Mr. Yannick Schubert’s research deeply focuses on Strömungsakustik, involving both theoretical modelling and practical solver development for aeroacoustic phenomena. His innovative applications of machine learning in Strömungsakustik aim to improve sound prediction in turbulent flows. As a doctoral candidate, his long-term impact on Strömungsakustik is set to grow, particularly in aerospace, environmental engineering, and CFD optimization.
Notable Publication
📘 A Volume Penalization Method for Acoustic and Aeroacoustic Simulation of Solid and Porous Bluff Bodies
Journal: Computers & Fluids
Authors: Yannick Schubert, Ennes Sarradj, Mathias Lemke
Date: May 2025
📘 Towards Robust Data-Driven Reduced-Order Modelling for Turbulent Flows: Application to Vortex-Induced Vibrations
Journal: Theoretical and Computational Fluid Dynamics
Authors: Yannick Schubert, Moritz Sieber, Kilian Oberleithner, Robert Martinuzzi
Date: June 2022