My work sits at the intersection of computational chemistry, machine learning, and drug discovery. I develop methods for molecular representation, chemical data analysis, and structure-based design, with a focus on translating computational approaches into practical tools for pharmaceutical research.
Research
I develop computational methods and chemoinformatics tools to address problems in drug discovery.
Molecular Design
Structure-based and ligand-based approaches to molecular discovery.
Machine Learning
Machine learning methods for chemical representation and prediction.
Drug Discovery
Applying computational approaches to identify and optimize therapeutic candidates.