Junle Liu

Junle Liu is a Postdoc Research Fellow at the Division of Fluid Mechanics, KTH Royal Institute of Technology. Supervised by Prof. Ricardo Vinuesa and Prof. Stefan Wallin, his research focuses on deep reinforcement learning (DRL) and wall modeling in fluid dynamics. He previously worked on machine learning-aided aerodynamics and data-driven techniques for experimental and numerical feature extraction.

• Fields of Interest: Machine Learning, Aerodynamics, Computational Fluid Dynamics, Data Science, Artificial Intelligence, Applied Mathematics
• Email: junle@kth.se