Qinghe Gao was a PhD student in the Process Intelligence Research group. His research connected chemical engineering and artificial intelligence, covering graph neural networks for molecular property prediction, reinforcement learning for process design, and self-supervised learning.
The public defence of his dissertation "Graph Machine learning for Molecular Property Prediction and Process Design" is scheduled for 20 November 2026 at TU Delft.
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