Thomas Gomez


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Research Interests

  • Data driven modeling, Data assimilation, Machine Learning, Bayesian inference
  • Computational Fluid Dynamics
  • Turbulent flows : theory, DNS, LES, EDQNM, Scalar mixing, Turbulence modelling, Helicity dynamics
  • Compressible turbulence : small scales structures, channel flows, wave decomposition
  • Aerodynamics : drag mechanism
  • Magnetohydrodynamics: Intermittency, numerical methods, LES, EDQNM
  • Numerical methods : numerical scheme for magneto/aeroacoustic, compressible flows
  • Combustion: numerical methods and stability
  • CFD codes, ANSYS Workbench, OPENFOAM, C/C++, Fortran, Python, Matlab, Maple

Research Interests

  • Data driven modeling, Data assimilation, Machine Learning, Bayesian inference
  • Computational Fluid Dynamics
  • Turbulent flows : theory, DNS, LES, EDQNM, Scalar mixing, Turbulence modelling, Helicity dynamics
  • Compressible turbulence : small scales structures, channel flows, wave decomposition
  • Aerodynamics : drag mechanism
  • Magnetohydrodynamics: Intermittency, numerical methods, LES, EDQNM
  • Numerical methods : numerical scheme for magneto/aeroacoustic, compressible flows
  • Combustion: numerical methods and stability
  • CFD codes, ANSYS Workbench, OPENFOAM, C/C++, Fortran, Python, Matlab, Maple

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