Michael Groom

Michael Groom is an Associate Lecturer at the School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney. He holds a BSc in Applied Mathematics (2013, University of Tasmania), MPE (2016), and PhD (2020) in Aerospace Engineering from the University of Sydney. His research focuses on computational fluid dynamics, turbulent mixing, aerodynamics, and physics-informed machine learning. He has published extensively on Richtmyer-Meshkov instability, shock wave dynamics, and CFD applications. Notable grants include the 2022 Kirby Foundation grant and 2021 Open Philanthropy Project scholarship. He is a member of The Net Zero Institute and teaches AERO3260 and AERO3560 courses.

Research interests include fundamental studies of compressible turbulence and applied aerodynamics, with recent emphasis on combining machine learning with physics-based methods. Major publications span journals like Journal of Fluid Mechanics and conferences such as the Australasian Fluid Mechanics Conference. His work bridges computational modeling and real-world applications in aerospace engineering.