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.