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Sarah Johnson
Undergraduate Researcher
Research Areas
Machine Learning Computational Chemistry
Biography
Sarah Johnson is an undergraduate researcher in the Isayev Lab, working on machine learning models for molecular property prediction as part of her senior honors thesis.
Education
- BS in Chemistry (Expected 2025), Carnegie Mellon University
Research Project
Developing interpretable machine learning models to predict molecular solubility using graph neural networks and attention mechanisms.
Interests
- Chemical informatics
- Data science
- Pharmaceutical research
Publications
No publications found for this author.