Qiqi Wang

Qiqi Wang is an Associate Professor of Aeronautics and Astronautics at MIT, specializing in computational methods for chaotic systems and high-fidelity fluid dynamics simulations. He leads research in numerical methods for exascale computing, unsteady aerodynamics, and design optimization under uncertainty.

Education: Ph.D. (2009) & M.S. (2008) in Computational and Mathematical Engineering from Stanford University, B.S. (2004) in Mathematics from USTC. Prior roles include Quantitative Analyst at Two Sigma and Postdoc at Stanford.

Research focuses on engineering design of chaotic systems, turbulence modeling, and adjoint-based sensitivity analysis. Key contributions include the Flow360 CFD solver, novel Jacobi iteration algorithms, and methods for sensitivity computation in chaotic flows.

• Key Projects:
  • Exascale numerical methods for CFD
  • Uncertainty quantification in aerodynamic design
  • LES and RANS modeling for rotorcraft
• Awards:
  • 2007 Stanford Computer Graphics Rendering Competition (Grand Prize)
  • 2005 SIAM Academic Excellence Award
  • 2003 Mathematical Contest in Modeling (Meritorious)

Active in MIT's Aerospace Computational Science & Engineering Lab and Gas Turbine Lab. Teaches graduate courses in fluid dynamics and numerical analysis.