Dominik Goldstein is a PhD candidate in the Process Intelligence Research group. His research focuses on machine learning for chemical and process systems engineering, with the aim of automating and accelerating steps in the design of chemical plants. He is one of the developers of pyDEXPI, an open-source Python implementation of the DEXPI standard for P&IDs.
Interests
- Process systems engineering
- Optimization
- Data analytics
- Machine/Deep learning
Education
MSc in Chemical Engineering, 2023
RWTH Aachen University
BSc in Mechanical Engineering, 2022
RWTH Aachen University