Johan Hoffman

Johan Hoffman is a Professor of Numerical Analysis at KTH Royal Institute of Technology, Stockholm, Sweden, and Deputy Head of the Division of Computational Science and Technology. He leads research in computational science, with a focus on fluid dynamics, biomedical engineering, and numerical methods. His work integrates fundamental mathematics with applied research in aerodynamics, urban planning, renewable energy, and biomedicine. Hoffman is a founder of the FEniCS open-source software project and a partner in the EU’s GENEX project on digital twins.

Education:

• Ph.D. in Applied Mathematics, Chalmers University of Technology
• Postdoctoral Fellow, Courant Institute, New York University
• Visiting Researcher at Oxford University, Stanford University, and others

Research Interests: Hoffman’s research spans computational fluid dynamics, turbulence modeling, finite element methods, and biomedical applications such as cardiovascular simulations. He develops adaptive numerical methods and high-performance computing frameworks for complex systems.

Publications Trends: Recent work emphasizes fluid-structure interaction in biomedical contexts (e.g., mitral valves), turbulence analysis, and multiphysics simulations in renewable energy. His methods prioritize stability, adaptivity, and scalability for large-scale problems.

• Awards:
  • ERC Proof of Concept Grant (2015)
  • Ingvar Carlsson Award (2005)
  • Leslie Fox Prize (2005)
  • Bill Morton Prize (2001)

Advising & Grants: Hoffman’s funding includes grants from the Swedish Research Council, ERC, and EU Horizon 2020. He supervises research on digital twins, turbulence modeling, and biomedical simulation. His lab collaborates with industry and academic partners globally.

Labs/Teams: Core contributor to the FEniCS project and leader of computational fluid dynamics teams at KTH, advancing open-source tools for multiphysics simulation.