About me

I am a Ph.D. candidate in the Computer Science department at UCLA, co-advised by Prof. Chenfanfu Jiang and Prof. Demetri Terzopoulos. My PhD works mainly focused on numerical solutions and machine learning approaches to Partial Differential Equations (PDEs), particularly for computational solid and fluid dynamics.

Research Interest

I am currently seeking Post-Doc positions, with a keen interest in scientific machine learning for surrogate multi-physics or chemistry systems, inverse problems, and control designs. I am particularly driven to bridge the gap between computational methods and modern machine learning, proposing solutions for real-world-scale scientific and engineering problems.

Mr. Yadi Cao

  • (Ongoing) Ph.D. CS, UCLA
  • (2018) MASc. ME, UBC
  • (2016) B.Eng., USTC