Dr. Wu, J.

Jun Wu is an Associate Professor of Computational Design and Fabrication at the Faculty of Industrial Design Engineering. He joined TU Delft in September 2016, following a Marie Curie postdoctoral fellowship at the Department of Mechanical Engineering, DTU Denmark. Jun Wu received his PhD in Computer Science in 2015 from TU Munich, Germany, and his PhD in Mechanical Engineering in 2012 from Beihang University, Beijing, China. 

His research is focused on computational design and digital fabrication, with an emphasis on topology optimization, also known as generative design. His research has been recognized with best paper awards at prestigious conferences, including the Symposium on Solid and Physical Modeling 2019 and the World Congress of Structural and Multidisciplinary Optimization 2019. In addition, he received the SMA Young Investigator Award from the Solid Modelling Association in 2021. He serves on the editorial boards of two academic journals, Computer-Aided Design (Elsevier) and Structural and Multidisciplinary Optimization (Springer).


  • 2010 – 2015
    PhD in Computer Science, 
    Technical University of Munich, Germany 
  • 2006 – 2011
    PhD in Mechanical Engineering, 
    Beihang University, Beijing, China
  • 2002 – 2006
    B.Eng in Astronautics Engineering, 
    Beihang University, Beijing, China


  • Since August 2022
    Associate professor, Design Engineering, TU Delft
  • September 2016 – July 2022
    Assistant professor, Design Engineering, TU Delft            
  • December 2015 – August 2016
    Postdoc, Mechanical Engineering, Technical University of Denmark
  • September 2010 – November 2015
    Research assistant, Computer Science, Technical University of Munich
  • September 2009 – December 2009
    Research assistant, Mechanical and Automation Engineering, Chinese University of Hong Kong
  • September 2006 – August 2010
    Research assistant, Mechanical Engineering, Beihang University 


Specialisation / Field of research

  • Computational Design
  • Design for (Additive) Manufacturing
  • Topology Optimization
  • Generative Design
  • Digital Fabrication
  • Medical Simulation