M
Michael Chen
PhD Student
Research Areas
Machine Learning Drug Discovery Reaction Prediction
Biography
Michael Chen is a PhD student in the Chemistry Department at Carnegie Mellon University, advised by Prof. Olexandr Isayev. His research focuses on applying machine learning to accelerate drug discovery and predict chemical reactions.
Education
- BS in Chemistry and Computer Science, Carnegie Mellon University (2021)
Research Interests
- Graph neural networks for molecular property prediction
- Retrosynthesis prediction and synthesis planning
- Multi-task learning for drug discovery
- Transfer learning in chemistry
Awards
- NSF Graduate Research Fellowship (2022)
- CMU Presidential Fellowship (2021)
Publications
No publications found for this author.