Education and qualifications

  • 2014 PhD in Mathematics. University of Leipzig. Thesis: Tensor product methods in numerical simulation of high-dimensional dynamical problems. magna cum laude.
  • 2011 M.Sc. in Applied Mathematics and Physics. Moscow Institute of Physics and Technology. Thesis: Iterative methods with the use of tensor decompositions. Excellent.
  • 2009 B.Sc. in Applied Mathematics and Physics. Moscow Institute of Physics and Technology. Thesis: Algebraic methods of sparse grids. Excellent. 

Experience

Computer skills and languages

  • Programming: C/C++, Fortran, MATLAB, MPI, OpenMP, Lapack/MKL.
  • Text editing and publishing: Latex, OpenOffice.
  • OS: Linux, Windows.
  • Russian: Native
  • English: C1 (IELTS: 7.5)
  • German: Basic