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