Daicong DA

Daicong DA

Postdoctoral Scholar

Northwestern University


Daicong DA is a postdoctoral scholar in the Integrated DEsign Automation Laboratory (IDEAL), Department of Mechanical Engineering at Northwestern University. His main research interests deal with material and structural design and optimization, multiscale methods and fracture modeling in heterogeneous materials, as well as bio-inspired materials and data-driven science.


  • Structural Optimization
  • Material Design
  • Multiscale Modeling
  • Fracture Modeling
  • Machine Learning


  • Ph.D. in Mécanique, 2019

    Université Paris-Est



Postdoctoral Scholar

Northwestern University

2020 – Present Illinois

Postdoctoral Research Associate

University of Wisconsin-Madison

2019 – 2020 Wisconsin

Graduate Research Assistant

Université Paris-Est

2016 – 2019 Paris


Multiscale topology optimization for non-uniform microstructures with hybrid cellular automata

Robust topology optimization for multi-material structures under interval uncertainty

Topology optimization of periodic lattice structures taking into account strain gradient

Topology optimization of particle-matrix composites for optimal fracture resistance taking into account interfacial damage

Topology optimization for maximizing the fracture resistance of quasi-brittle composites