• 2013–2019 - Charles University, Faculty of Mathematics and Physics – doctoral degree in Mathematical Modelling, advisor Josef Málek

  • 2010–2013 - Charles University, Faculty of Mathematics and Physics – master’s degree summa cum laude in Mathematical and Computer Modelling in Physics and Engineering

  • 2006–2010 - Charles University, Faculty of Mathematics and Physics – bachelor’s degree in Physics

  • 1998–2006 - Gymnasium in Jeseník – eight-year programme

Professional affiliation

Scientific interests

  • scientific computing

  • numerical analysis, a posteriori error estimates, adaptivity, preconditioning

  • inverse problems in electromagnetism

  • non-Newtonian fluids

Selected publications \(~\)

  • Martin Alnæs, Jan Blechta, Johan Hake, August Johansson, Benjamin Kehlet, Anders Logg, Chris Richardson, Johannes Ring, Marie Rognes, and Garth Wells. The FEniCS Project Version 1.5. Archive of Numerical Software, 3(100):9–23, 2015. doi:10.11588/ans.2015.100.20553.

  • Jan Blechta. Stability of linear GMRES convergence with respect to compact perturbations. SIAM Journal on Matrix Analysis and Applications, 42(1):436–447, 2021. doi:10.1137/20M1340848.

  • Jan Blechta, Josef Málek, and K.R. Rajagopal. On the classification of incompressible fluids and a mathematical analysis of the equations that govern their motion. SIAM Journal on Mathematical Analysis, 52(2):1232–1289, 2020. doi:10.1137/19M1244895.

  • Jan Blechta, Josef Málek, and Martin Vohralík. Localization of the \(W^{-1,q}\) norm for local a posteriori efficiency. IMA J. Numer. Anal., 40(2):914–950, 2020. doi:10.1093/imanum/drz002.

Published software

Research projects

Industrial cooperation

  • 2013–2017 - modelling of float glass forming, in cooperation with Glass Service, see [Řehoř et al. 2016]

  • 2021 - electromagnetic exploration of ground water infiltration in the Berezniki potash mining area, in cooperation with TU Bergakademie Freiberg, Uralkali, and Perm State University

Professional responsibilities

Research visits


Organization of scientific events

Invited lectures

Attendance of notable conferences


  • Czech (native)

  • English (fluent)

  • German (limited passive knowledge)

Software development skills

  • closely familiar with Python (including Python computing ecosystem, e.g., SciPy, etc.), C, C++, and Fortran

  • modern Python tools (pybind11, Numba, Pythran)

  • open-source development, modern techniques like unit testing, continuous integration, containerization