Welcome to the research website of Dr. Michael S. Dodd. Dodd's research is concerned with the development and application of computational methods to improve fundamental understanding of complex fluid flow problems invovling turbulence and multiple species and scales. His primary objectives are to (i) increase fundamental understanding of complex turbulent flows with the long-term objective of improving the predictive capabilities of computational models used in engineering design and (ii) develop high-fidelity numerical methods that enable massively parallel, predictive simulations of realistic engineering problems. His approach combines recent advances in applied mathematics and high-performance computing to tackle problems arising in external aerodynamics, energy conversion systems, biological flows, and geophysical flows. Central to this effort is developing highly scalable solvers, data analysis tools, and visualization methods for emerging computing systems.
Dr. Dodd received his B.S. in Aerospace Engineering from the University of Michigan in 2009 and his Ph.D. in Aeronautics and Astronautics in 2017 from the University of Washington. From 2017 to 2019 he was a Postdoctoral Fellow at the Center for Turbulence Research at Stanford University.