Geemi Wellawatte

AI Technical Lead

Geemi is a chemist whose expertise lies at the intersection of AI and chemistry. During her PhD and postdoctoral studies, she worked on using AI and explainable AI to solve problems in the field of chemistry. Her main interests are on automating hypothesis generation, helping bridge the gap between AI and scientific discovery.

Model agnostic generation of counterfactual explanations for molecules

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A Perspective on Explanations of Molecular Prediction Models

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Human interpretable structure-property relationships in chemistry using explainable machine learning and large language models

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