Michael K. Sleeman
Computational scientist and fluid dynamicist
Michael K. Sleeman
Computational scientist and fluid dynamicist
I am a Postdoctoral Scholar working under the supervision of Professor Andrew Stuart in the Department of Computing and Mathematical Sciences at the California Institute of Technology (Caltech), where I am currently developing data assimilation methods for fluid flows involving shocks.
I completed my PhD in the Department of Mechanical and Civil Engineering, also at Caltech, where I was advised by Professor Tim Colonius as a member of his Computational and Data-Driven Fluid Dynamics group. I developed the Nonlinear One-Way Navier-Stokes (NOWNS) equations, a numerical tool for nonlinear disturbance evolution in boundary layers flows that can be used to predict laminar-turbulent transition.
I am broadly interested in numerical methods and scientific computing for partial differential equations (PDEs). Prior to starting at Caltech, I earned my bachelor's degree in mechanical engineering from the University of British Columbia. Later, I earned my master's degree at the University of Toronto Institute for Aerospace Studies (UTIAS) under the supervision of Professor Masayuki Yano, where I studied reduced-order modeling (ROM) methods and developed a projection-based model reduction formulation for parametrized time-dependent nonlinear PDEs.