Associate Professor Matthew Cleary’s research interests are in the computational modelling of turbulent combustion and two-phase flows. His work focuses on stochastic models for large eddy simulations and is best known for co-developing the sparse-Lagrangian multiple mapping conditioning method (MMC-LES). This is a probability density function model that draws upon concepts that originated in conditional moment closure and flamelet approaches to achieve closed, accurate and affordable solutions for turbulent reacting flows including those involving complex chemistry, multiple phases and nanoparticle formation. Through the development and dissemination of the opensource software called mmcFoam, the MMC-LES model has been widely adopted by researchers at various international institutions. Cleary’s recent research has focused on supersonic combustion and rotating detonation engines, soot formation and a new, accurate and uniquely convergent volume of fluid method for interfacial LES called the explicit volume diffusion model. He teaches fluid mechanics, energy and propulsion courses and is the Deputy Head of School and Research Director of the School of Aerospace, Mechanical and Mechatronic Engineering at the University of Sydney.