Olga Doronina is a postdoctoral researcher in the High-Performance Algorithms and Complex Fluids Group in NREL's Computational Science Center. She applies her expertise in turbulence modeling, computational fluid dynamics, machine learning, and statistical methods to NREL’s research projects. Currently, Olga is working on developing a surrogate model of non-ideal reacting flows in an oxy-combustor and building a computational tool for wind turbine blade representation.

For additional information, see Olga Doronina's LinkedIn profile.

Disclaimer: Any opinions expressed on LinkedIn are the author’s own, made in the author's individual capacity, and do not necessarily reflect the views of NREL.

Research Interests

Turbulent flows

Machine learning

Bayesian analysis

Education

Ph.D., Mechanical Engineering, University of Colorado

M.S., Mechanical Engineering, University of Colorado

M.S., Applied Mathematics and Physics, Moscow Institute of Physics and Technology

B.S., Applied Mathematics and Physics, Moscow Institute of Physics and Technology