About

I am a PhD student in the Chair of Aerodynamics and Fluis Dynamics at the Technical University of Munich with a strong foundation in both academic research and practical engineering.

My primary research focuses on developing wall models for Large Eddy Simulation using machine learning to achieve low calculation costs for vehicle aerodynamics with high accuracy. As part of this work, I have built custom code that integrates machine learning models into OpenFOAM framework. I have presented my research at several domestic and international conferences.

In addition to my academic pursuits, I have gained practical experience in aerodynamic development at TotalSim Japan in Japan and Polimi Motorcycle Factory in Italy, contributing to the aerodynamic development of racing cars and motorcycles using computational fluid dynamics.

A brief summary is shown here. For full details, see my CV.

Education

• PhD, Aerodynamics and Fluid dynamics, Technical University of Munich (TUM), January 2026 – present
• PhD, Mechanical Engineering, The University of Tokyo (Utokyo), April 2025 – December 2025
• MEng, Mechanical Engineering, The University of Tokyo, April 2023 – March 2025
• BEng, Mechanical Engineering, The University of Tokyo, April 2019 – March 2023

Work Experience

• Part time CFD Engineer, TotalSim Japan, October 2022 – present

Awards

• Doctoral Scholarship, Studienstiftung des deutschen Volkes (German National Academic Foundation), March 2026 – February 2029 (with possible extension)
• Outstanding Presentation Award, 40th IIS TSFD symposium & 37th Inter-Institutional Joint Serminar on Turbulent Flow Control, March 2025
• Continental UTokyo-IIS Global Engineering Fellowship, Continental Japan and the Institute of Industrial Science, the University of Tokyo, October 2023
• Go Global Gateway, The University of Tokyo, March 2023