Qinghe Gao

Qinghe Gao

PhD student

Delft University of Technology

As part of the Process Intelligence Group, my Ph.D. projects include graph neural network for molecular property prediction, reinforcement learning in process design, self-supervised learning. I aim to connect chemical engineering and artificial intelligence to provide the next generation of intelligent knowledge and decision-making platforms for the chemical engineering field.

Interests
  • Deep learning
  • Machine learning
  • Generative model
  • Process design
  • Graph neural network
Education
  • MSc in Computational Science, 2021

    University of Amsterdam

  • BSc in Applied Chemistry, 2019

    Northeast Forestry University