1225 4th St. #333, San Francisco, CA 94158

About the Foundation

Supporting global software development and education in the engineering sciences

Computational analysis tools have revolutionized the way we design engineering systems as a society, but most established codes are proprietary, unavailable, or prohibitively expensive for many users. The SU2 Foundation will change this, making multiphysics analysis and design optimization software free and publicly available, in a single place, without restriction on who can contribute to its creation and development.

The SU2 Foundation is an educational and scientific not-for-profit that will bring together computational scientists and engineers through the SU2 Foundation platform. The SU2 Foundation develops, maintains, and supports a collection of C++ and Python-based software tools for performing Partial Differential Equation (PDE) analysis and solving PDE-constrained optimization problems. Through maintaining and improving the quality of software, documentation, and tutorials, and by growing the community of users and developers, the SU2 Foundation will ensure quality improvement of multiphysics software tools, accessible by everyone, for continued innovation in the engineering sciences.


Our operations and activities depend upon the generous support of individuals, industry, government agencies, and universities around the world.

Interested in being a sponsor? Take a look at our sponsorship program.


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Stanford University

TU Kaiserslautern

Imperial College London

University of Strathclyde

Tecplot, Inc.

SU2 Foundation 

Executive Board

Our current executive board consists of experienced directors in their respective fields and will manage the foundation’s activities in order to pursue the mission.

Dr. Thomas D. Economon

Executive Director

Tom is one of the original developers of SU2 and has helped maintain the project since its initial open-source release in 2012 while at Stanford University. Research interests include computational fluid dynamics, optimal shape design via adjoint methods, and high performance computing.

Prof. Juan J. Alonso


Juan is Professor at the Department of Aeronautics & Astronautics of Stanford University and is the head of the Aerospace Design Laboratory (ADL) where SU2 was born. He specializes in the development of high-fidelity computational design methodologies.

Dr. Eran Arad


Eran is a Senior Research Associate at Rafael Advanced Defense Systems. He has over 30 years of experience in turbulence modeling and simulation (LES,DES), compressible flow simulation, industrial CFD and complex geometry flow analysis.

Prof. Piero Colonna


Piero leads the Propulsion and Power group of the Delft University of Technology in the Netherlands. He is an expert of Non-Ideal Compressible Fluid Dynamics (NICFD), and renewable energy technologies like organic Rankine cycle and supercritical CO2 cycle power systems, and novel heat pumps. His group initiated and continuously advances the development of SU2 features for turbomachinery design and optimization.

Tim Albring


Tim is a computational engineer. Areas of expertise include optimization and design in CFD, adjoint methods, software architecture and high-performance computing.

Pedro Gomes


Pedro is a PhD student at Imperial College London working on MDO. He has done extensive modifications to SU2, especially to improve performance.

Daniel Mayer


Daniel is a Senior Engineer at Robert Bosch LLC in Sunnyvale, CA. He specializes in software development for multiphysics modeling and simulation. Especially combustion and electrochemistry based energy conversion systems are in his focus.

Tobias Kattmann


Tobias is a computational scientist and PhD student at the TU Kaiserslautern. His areas of expertise include CHT simulation with a focus on heat exchangers, and adjoint methods for shape optimization.

Dr. Nijso Beishuizen


Nijso Beishuizen studied Aerospace Engineering at Delft University of Technology, the Netherlands, majoring in aerodynamics, and subsequently did a PhD in applied physics at the same university. He is now a research engineer at Bosch Thermotechnology Deventer, specializing in Computational Fluid Dynamics, combustion and optimization of boilers and burners. Additionally, he is a part-time assistant professor at Mechanical Engineering, Eindhoven University of Technology, in the group of Power and Flow.

Dr. Matteo Pini


Matteo leads turbomachinery research in the Propulsion and Power group of the Delft University of Technology in the Netherlands. He is expert in adjoint-based optimization methods for turbomachinery applications and internal flows at large. He collaboratively developed SU2 for turbomachinery along with several enthusiastic co-workers and currently coordinates the SU2-Turbo working group.