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My research focuses on polymeric PFAS as potential risk chemicals, where I investigate their fate and persistence in the environment through experimental and computational methods.
My research aims at developing tools to characterize and identify polymeric per- and polyfluoroalkyl substances, which are widely recognized as PFAS, as new and/or emerging risk chemicals. To address this, we combine experimental environmental fate studies to assess the risks posed by polymeric PFAS with AI-based methods, utilizing natural language processing and machine learning-based modeling.